Python Developer Jobs in UAE in UAE 2026

Bayt

CMSE Communications M&S Engineer / Trainer

Remote - UAE 22 July 2026

Research & Development

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Date Posted: 2026-07-21&#xa;&#xa;Country: United Arab Emirates&#xa;&#xa;Location: AE-UNITED ARAB EMIRATES-CLIENT SITE ~ United Arab Emirates Remote ~ (External Site)&#xa;&#xa;Position Role Type: Onsite At RTX, the world's largest aerospace and defence company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defence industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defence. Collins Aerospaceis seekingaConnected Battlespace Lab (CBL)Communications Systems Modelling & Simulation (M&S) Engineer (CMSE)able to support a three (3) month initiation and training period in the UK followed by a four (4) year assignment in Abu Dhabi,United Arab Emirates (UAE). This position is in support of a long-term communications systems modelling and simulation(M&S)laboratory and academics program.  Candidates must ensure their resumesincludessufficient detail todemonstratealignment with the job requirements, including relevant academic and technical qualifications, and experience.   As this role is primarily based in the UAE, the candidate must successfully complete all requiredbackgroundand pre-hire immigration checks and be eligible to obtain the right to work andresidein the country. The company will support the candidate through the relevant application process. Due to the nature of the program to remain ITAR free this position is NOT available to US candidates.  Role Overview: The CMSE roleshall support thefollowing specific areas:  <ul><li>Responsible for being a communications systemsubject matter expert (SME)  </li><li>Teaching and mentoring a teamperforming in-depthmodellingand analysis ofUAEcommunicationssystemsusingcommercial and specially developedM&S tools and techniques  </li><li>Instructor/facilitatorforthe CBL Foundations course  </li><li>Providing M&S development support, mentoring, and on the job training (OJT)for theCBLEmiratistaff.  </li></ul> Primary Responsibilities: <ul><li>Providein-countryCommunications M&S SMEfor Collins aerospace CBL activities  </li><li>TeachCommunications Systems andM&S concepts and approaches as part of the CBL Foundations Course  </li><li>Provide students’ academic support and mentoring to ensure successful completion of the course  </li><li>Assess students’ understanding of M&Sand communications systemstopics and evaluate theirproficiency  </li><li>Support the Instructional Systems Design process to develop and improve the course  </li><li>Support installation of the Connected Battlespace Lab (CBL) at a UAE site  </li><li>Providein-lab M&S project design, planning, execution, and analysis alongside Emirati CBL Foundations Course graduates  </li><li>Conduct OJT and mentoring of apprentice level Technical Lead/Systems EngineersCBL staffto improve theirproficiencyand grow their skills  </li><li>Developa working knowledge of UAE MOD specific communications systemsto include networks, RF datalinks, 5G/6G wireless, Satellite Communications (SATCOM), data encryption devices, radios, electronic warfare (EW), Artificial Intelligence (AI)-enabled communications, software defined radio (SDR), etc.  </li><li>Utilise M&Stools (e.g., Ansys, MATLAB, etc.)to develop communications systems models and simulations  </li><li>Review and advise onthe development of CBLpolicies and procedures  </li><li>Work with reach-back support engineers and SMEs to gain andmaintainexpertisein CBL Foundations Course topics andcommunications systemstechnical areas (e.g., M&S tools and techniques, communications systems, mission operations, emerging technologies, etc.)  </li><li>Other related duties asrequired  </li></ul> Essential Qualifications and Experience You Must Have: <ul><li>Strongverbaland written communicationskills in the English Language  </li><li>Understanding of Arabic culture, sensitivity to the Islamic environment, and ability to teach and work in the program’s environment </li><li>12+ years of communications systems experience  </li><li>5+ years of M&S experience  </li><li>Experience with teaching/mentoring junior technical personnel/students  </li><li>Experience in the classroom teaching and guiding students during self-guided learning  </li><li>Military communications systems experience (e.g., datalinks, networks, radios, RF, etc.)  </li><li>Applied knowledge of M&S principles and practices in a communications systems related domain  </li><li>Demonstrated ability to conduct short-term studies, translate project requirements into model contexts, and coordinate with SMEs and stakeholders to meet M&S project objectives  </li><li>Ability to plan and lead the execution of M&S technical projects  </li><li>Ability to derive and specify clear requirements with measurable acceptability criteria for M&S projects  </li><li>Ability to assess and communicate the level of confidence / risk associated with M&S project findings  </li><li>Ability to present model and simulation designs, implementation architectures, and results to M&S professionals and senior decision makers  </li><li>Development of communications systems/networks models  </li><li>Development of communications systems/network simulations  </li><li>Simulations results analysis anddevelopment of optimization recommendations  </li></ul> Qualifications and Experience We Prefer: <ul><li>Experience with scripting languages (e.g., Python, PowerShell  </li><li>Experience with Software Tool Kits (STKs), writing software adapters, use of AI agents  </li><li>Experience using MATLAB, Ansys, or other M&S software applications  </li><li>Familiar with agile software development  </li><li>Familiar with IT infrastructure software applications (e.g., MS Server)  </li><li>Experience in the Middle East or working with native Arab cultures </li><li>Military experience or military related programs  </li><li>Understanding of RTX Collins Aerospace and its policies/procedures  </li></ul> Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms </div>

Bayt

Senior QA Engineer

On-site - UAE 28 June 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Senior Test Automation Engineer will play a critical role in enhancing Test Automation solutions for the Client’s applications and platforms including the SupTech program, Payments & Reporting platforms and related technology stacks within a modern DevSecOps delivery pipeline. This role encompasses analyzing technical and functional designs, defining test strategies, designing and implementing automated test frameworks and test cases (UI, API, Mobile App, Integrations, Performance Testing), and ensuring high quality, reliability, and security of software deliveries. The Senior Test Automation Engineer will drive continuous improvement in test automation practices & tooling to meet Client’s quality objectives, collaborating with relevant stakeholders to optimize test coverage, execution efficiency, & compliance with industry standards and internal policies Additionally, the engineer will be responsible for integrating existing CI/CD pipelines with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline and utilizing mobile app testing tools such as Appium, Espresso, XCUITest, and Detox The role also involves promoting modern software quality engineering practices, fostering innovation in automation, ensuring code and test quality, promoting collaboration through agile practices, providing effective support and resolution for quality-related issues, and aligning testing and automation decisions with the overall objectives of the Client. Key Responsibilities Core Responsibilities Enhance and implement a robust, scalable, and maintainable test automation solutions for Client’s applications stack. The role ensures that automated testing frameworks and suites are aligned with modern technology stacks and continuously support evolving business and regulatory needs. It involves setting the overall test automation strategy and technical vision, defining quality and testability standards, and ensuring adherence to best practices in software testing, evaluating Test automation and Performance Testing tools and its frameworks, Quality engineering patterns, Adopt agile testing practices and principles across the environment. 1. Test Automation Strategy, Design and Implementation · Design, develop, maintain, and enhance the test automation strategy for key applications and platforms (including SupTech (Supervision Technology for banking supervision), Payments & Reporting, and other critical systems). · Analyze business, functional, and technical requirements to design effective automated test scenarios and suites. · Design, build, and maintain modular, reusable, and scalable test automation frameworks (UI, API, Mobile, Integration, Performance and Regression). · Ensure test automation solutions are aligned with architectural standards, security guidelines, JIRA and DevSecOps/CI-CD practices. · Integrate existing CI/CD pipeline with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline, ensuring continuous validation throughout the development lifecycle. 2. Test Development, Execution and maintenance · Develop, review, and optimize automated test scripts using approved tools and languages. · Integrate automated tests into JIRA (Xray Test Case Management) for comprehensive test case lifecycle management, including requirements traceability, execution tracking, and reporting. · Maintain and refactor existing test suites to improve stability, reliability, coverage, and execution speed, monitor and analyze test execution results, identify flakiness or instability, and implement corrective actions. · Ensure timely execution of automated suites in line with release schedules and quality KPIs. · Implement Mobile Device Farm integration with Tosca (using tools like Perfecto, BrowserStack, or Sauce Labs) to execute automated mobile test cases on both physical devices and emulators/simulators. 3. Quality Engineering, Standards and Governance · Adhere to test automation coding standards, best practices, and design patterns, modern quality engineering approaches (e. g., Test-Driven, Behaviour-Driven, shift-left testing). · Contribute to maintain test data & environment management, test configuration standard · Support the establishment and tracking of quality metrics (e. g., test coverage, defect leakage, automation coverage, and execution duration). · Ensure testing practices are compliant with internal policies, regulatory requirements, and industry standards. 4. Collaboration, Stakeholder Engagement and Support · Collaborate closely with BA, Developers, Solution architects, PMO, and operations teams to ensure quality is embedded throughout the lifecycle. · Liaise between business users and technical teams to clarify requirements, acceptance criteria, test coverage, support for test automation and quality-related issues, including troubleshooting test failures, environment issues and tool integration challenges. · Participate actively in agile ceremonies (planning, refinement, reviews, retrospectives) to represent quality and test automation perspectives. 5. Tooling, Innovation and continuous improvement · Evaluate, recommend, and implement test automation, performance testing, and quality engineering tools and frameworks that align with the Client’s technology stack. · Explore and adopt innovative approaches such as AI-assisted testing, model-based testing, and test impact analysis where relevant. · Continuously optimize test suites (e. g., prioritization, parallelization, environment usage) to reduce cycle time and improve feedback speed. · Identify opportunities to improve processes, enhance test coverage, and increase automation maturity across teams. · Utilize mobile app testing tools such as Appium, Espresso, XCUITest, and Detox for mobile automation and implement CI/CD/CT pipeline orchestration to enable continuous testing with automated smoke, regression, integration, and performance tests. 6. Documentation and Knowledge management · Develop and maintain comprehensive documentation for test automation frameworks, standards, test suites, and execution processes. · Document and share lessons learned, best practices, and guidelines for effective automation of quality. · Perform any other duties outside the scope as and when required. Self-Management Responsibilities · Professional Development: Identify and pursue training opportunities to enhance skills and competencies. · Competency Mastery: Strive for excellence across all required competencies for the role. · Industry Awareness: Stay informed about emerging trends, techniques, and advancements in the field to ensure continued relevance and capability. Threshold Qualifications : · Bachelor’s or Master’s degree in Software Engineering (IT), · Professional certifications in Software Testing Automation. · Extensive expertise in NEOLOAD performance testing tool , TOSCA automation tool would be an added advantage. · ISTQB, Cypress/Appium certifications, Mobile Performance Testing Tools (NeoLoad, JMeter Mobile, LoadRunner Mobile) · Agile/Scrum, CI/CD/CT pipeline integration · Xray Certified Practitioner (JIRA Xray Test Case Management) - Preferred Experience: · Minimum of 6+ years of hands-on experience in software testing with a strong focus on Performance, Load and Endurance testing. · Proven track record in designing, implementing, and maintaining automation frameworks and suites for enterprise-level applications. Technical Skills: · Performance Testing on Web application, SOAP API Testing, Mobile Testing, SQL, JIRA · Proficiency in NeoLoad, JMeter Mobile, LoadRunner Mobile, BlazeMeter Mobile, REST/SOAP, Postman · Knowledge of a scripting language (Python, JavaScript, Java · Experience in Database’s, Monitoring tools (JIRA, AppDynamics, Datadog) · Automation of Mobile Performance Test Cases using Device Farm integration with Neoload (such as Perfecto, BrowserStack, Sauce Labs) to execute on both physical devices and emulators/simulators · CI/CD/CT Pipeline Experience: Integrating performance test automation scripts within CI/CD pipelines (Jenkins, GitLab, Azure DevOps) to establish continuous performance testing workflows Roles and Responsibilities: · NFR Requirement Gathering, PT tool installation and Setup, · Creating Test Plan, Workload Design, Test Execution · Result Analysis, Report generations, Document Test results & statistics · Tracking test results and performance metrics in JIRA (Xray Test Case Management Solution), ability to track defects and correlate performance issues with test case Preferred Certifications: · Neoload Professional certification by Tricentis academy · JMeter Pro certification by Blaze Meter University </div>

Full Time 0 to 0 years

Research Assistant

On-site - UAE - Abu Dhabi Emirate 6 July 2026

Education & Training

The Laboratory for Computer-Human Intelligence in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated Research Assistant to work on cutting-edge machine learning / artificial intelligence / data science applications that utilize human signals (e.g. text, audio, physiology). The Role The Research Assistant will work on research projects in the Laboratory for Computer-Human Intelligence under the direction of the Principal Investigator Tuka Alhanai. Research projects range from implementing machine learning algorithms that measure cognitive outcomes, to visualizing patterns that map population-level health and well-being. The Research Assistant is expected to develop creative solutions to day-to-day technical challenges, think critically about meaningful next steps in the research process, and lucidly relay their thoughts, insights, and conclusions to high-level executive audiences and technical peers. It is not expected that the applicant be perfect at these tasks, but will motivated and self-driven to develop the necessary skills to master the role of a researcher. Key Responsibilities In the capacity of a researcher, the individual is expected to generally conduct the following activities. The specifics are dependent on the nature of the project they work on. Data Curation: Develop data ingestion engine(s) (appropriate for the data type) to organize the data that simplifies processing conducted with the data. Researcher will utilize any of sensors, front-end web-based applications, and databases to collect and organize data. Multimodal Signal Processing: involves processing data of different types (e.g. audio, text, physiology, image, movement), using computational methods. Most data is noisy and needs to be cleaned and reduced into a salient representation. Machine Learning: involves applying algorithms to automatically detect patterns in data and model outcomes of interest. Many if the latest modeling approaches are little understood, and require computational power to digest information beyond what humans are able to process. Visualization: Representation of data and results in the form of plots, charts, and images. This helps convey to technical peers as well as the general public what contributions the work makes to knowledge. It is expected that this be rendered statically and/or dynamically in a web framework. Documentation: involves structuring above work in a (a) software repository, (b) comprehensive comments in software, (c) development of a clear README, (d) journal/conference paper*, and (e) corresponding project website. This ensures work is reproducible and accessible to both technical peers and the general public.researcher should target top-100 publications here: http://www.guide2research.com/topconf/ Technical Experience The successful applicant will have the following technical experience in: The development of end-to-end applications (e.g. databases, algorithms, visualizations). Processing one or more data types/signals (e.g. text, audio, images, physiology). Applying machine learning algorithms (e.g. regression, neural networks). Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as source code version control (git). Authoring peer-reviewed scientific papers. Attitude The successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality. Further Information For a sense of work performed in the lab, explore this portfolio: https://talhanai.xyz/projects.html The Division Engineering research at NYU Abu Dhabi crosses the boundaries of traditional engineering disciplines and encompasses broad interdisciplinary areas that embody key characteristics of our age. In the face of global competition, dwindling natural resources, and the complexity of societal needs, the leaders of technological enterprises will be those who can innovate, are inventive and entrepreneurial, and understand how technology is integrated within society. About NYUAD NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. UAE Nationals are encouraged to apply. Educational Experience The successful application will have a Bachelor’s (ideally Master’s) degree in Computer Science (or equivalent major; Mathematics, Physics, Engineering, Economics, etc.). Applications Will Be Considered On a Rolling Basis Until The Position Is Filled. An Applicant That Passes The Review Process Will Be Accepted Immediately. To Be Considered, All Applicants Must Submit In PDF Format Cover letter. Curriculum Vitae. Transcript of degree. Two letters of recommendation. Additional Program Information UAE nationals are encouraged to apply This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research. For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response) UAE nationals are encouraged to apply This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response) Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

Bayt

Associate - Risk Management (Construction projects)

On-site - UAE 4 August 2026

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description AECOM Advisory integrates management consulting with infrastructure expertise. We’re the largest infrastructure professional services firm to bring truly in-house management consulting services to our clients. We are currently seeking an Associate to join our Risk Management team which forms part of our Advisory business, and we are looking for highly motivated applicants who possess outstanding analytical, communication and creative skills. As an Associate, you will undertake the delivery of complex projects across the full spectrum of advisory activities under minimal direction while managing a team and leading one or more project teams, delivering consulting services across a cross section of areas. Other practice areas within our Advisory business includes Asset, Project Monitoring, P3 Technical, Program, Strategy+, Procurement and Construction Business Intelligence services, allowing the successful candidate an opportunity to collaborate across our Advisory team and advise our clients on a wide range of projects across built asset and infrastructure sectors. Desirable Knowledge and Expertise Candidates will be expected to possess deep expertise in one or more of the following: <ul><li>Good working knowledge of Middle East design and construction projects, conditions of contract and contractual issues.</li><li>Demonstrable skills in the implementation and monitoring of project risk management on building and infrastructure projects.</li><li>Familiarity with risks associated with new and refurbishment projects.</li><li>Excellent knowledge of project risks associated throughout the project life cycle, together with experience of preparing and implementing suitable risk management strategies.</li><li>Must be capable of chairing risk meetings and following up with project team members at all levels.</li><li>Familiarity with risk management software used for recording and reporting risk.</li><li>Demonstratable skill in quantitative cost risk assessment (Monte Carlo).</li><li>Specific risk management qualification would be preferred.</li></ul>Technical Skills Range Candidates will be expected to possess skills in one or more of the following: <ul><li>Microsoft Office Suite.</li><li>Visio, Excel, Tableau, Power BI data manipulation and analytics.</li><li>Web based data analytics, visualization and presentation software.</li><li>Project management, project work planning, scheduling and resource deployment.</li><li>Business development, market planning and client relationships.</li><li>Space programming, user research, design strategy and conceptual design.</li><li>Revit, GIS, Python or other space planning / design CAD systems.</li></ul>Culture and Personality Candidates will be expected to possess as many of these attributes as possible: <ul><li>Highly collaborative, highly communicative, creative team leader.</li><li>Excellent presentation and communication skills.</li><li>Comfortable in a fast-paced, open, creative environment.</li><li>Ability to lead workshops, focus groups and presentations.</li><li>Critical thinking and persuasive writing skills.</li><li>Familiarity with research methodologies and processes.</li><li>High degree of flexibility and the ability to lead multiple projects in multiple teams, across multiple markets.</li></ul>Outline of Duties Working as a collaborative team member, this individual will be responsible for: <ul><li>Initiate, manage and coordinate risk management activities across all stages of projects.</li><li>Chair / facilitate risk management meetings.</li><li>Coordinate with clients, engineers, contractors and consultancy team members on risk management activities at all levels.</li><li>Monitor risk registers and trends across multiple projects within a program of works.</li><li>Create and maintain risk registers for projects (in formats approved by the clients).</li><li>Advise clients on risk management strategies and appropriate mitigation plans.</li><li>Work with the team to provide cost information to enable quantitative assessment of risks.</li><li>Recommend adjustments to risk registers (as necessary).</li><li>Advise clients on Risk Management best practices and improvements.</li><li>Lead and deliver all aspects of services from inception of a project through to completion.</li><li>Achieve the highest standards of professional competence and to demonstrate this ability in all dealings with clients and professional contacts, reinforcing the profile of the company.</li><li>Drive performance standards and technical excellence through expert communication and effective use of the performance management process and AECOM technical practice networks.</li><li>Maintain and develop good relationships with clients, take every opportunity to uphold and increase the profile of the firm as a provider of professional, premium quality services to the construction industry.</li><li>Actively support the internal team and manage more junior staff on technically complex projects.</li><li>As an Associate you will also be actively involved developing marketing opportunities and where appropriate bring to the attention of Directors and the Business Development Department, in order that they may assist in following up potential leads enabling the development of new business.</li></ul>Managing and delivering specific activities within projects, including: <ul><li>Client interaction</li><li>Communication</li><li>Planning</li><li>Research</li><li>Data analytics</li><li>Visualization</li><li>Workshop facilitation</li><li>Presentation preparation and report writing</li><li>Coordinating one or more project teams</li></ul> Qualifications <ul><li>Minimum 12 years relevant post education experience.</li><li>Bachelor’s and preferably master’s degree in relevant construction \ infrastructure related discipline.</li></ul> Additional Information At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. About AECOM  AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.  AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.  What makes AECOM a great place to work  You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.  As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.  </div>

Bayt

Associate - Risk Management (Construction projects)

On-site - UAE 29 July 2026

Research & Development

Bayt

Lead M&S Systems Engineer/Trainer

Remote - UAE 22 July 2026

Accounting, Finance & Banking

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Date Posted: 2026-07-21&#xa;&#xa;Country: United Arab Emirates&#xa;&#xa;Location: AE-UNITED ARAB EMIRATES-CLIENT SITE ~ United Arab Emirates Remote ~ (External Site)&#xa;&#xa;Position Role Type: Onsite At RTX, the world's largest aerospace and defence company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defence industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defence. Collins Aerospaceis seekingaLeadModelling and Simulation (M&S) Systems Engineer/Trainerable to support a three (3) month initiation and training period in the UK followed by a four (4) year assignment in Abu Dhabi,United Arab Emirates (UAE). This position is in support of a long-term communications systems modelling and simulation(M&S)laboratory and academics program.  Candidates must ensure their resumesincludessufficient detail todemonstratealignment with the job requirements, including relevant academic and technical qualifications, and experience.   As this role is primarily based in the UAE, the candidate must successfully complete all requiredbackgroundand pre-hire immigration checks and be eligible to obtain the right to work andresidein the country. The company will support the candidate through the relevant application process.  Due to the nature of the program to remain ITAR free this position is NOT available to US candidates.  Role Overview: The Collins AerospaceSystems Engineer/Trainershallsupport the followingspecific areas:  <ul><li>Conduct trainingfor the Connected Battlespace Lab (CBL) Foundations Course   </li><li>Providetechnical project leadership and systems engineering development subject matter expert (SME) supporting the CBL laboratories   </li><li>Support the installation of the Connected Battlespace Lab (CBL) at a UAE site  </li><li>Conduct a Training Needs Analysis (TNA) and the design/development of the knowledge transfer and mentoring program for the UAE CBL   </li><li>Teach select courses insystems engineering, M&S design anddevelopment, technical projectleadershipand execution, etc.   </li><li>Provide a global understanding of the design, development, and implementation of small projects performing M&S analysis of communications systems   </li><li>Facilitateknowledge transfer to CBL Emirate personnel through co-developmentand executionofM&S projectsand mentoring during on-the-job-training (OJT)  </li></ul> Primary Responsibilities: <ul><li>Lead thetechnical team in regionacting as the interface to the Program/Training Director  </li><li>TeachM&Ssystems engineering concepts and approaches as part of the CBL Foundations Course   </li><li>Provide students’ academic support and mentoring to ensure successful completion of the course   </li><li>Assess students’ understanding ofM&S systems engineeringtopics and evaluate theirproficiency   </li><li>Support the Instructional Systems Design process to develop and improve the course   </li><li>Perform in-labM&S project design, planning, execution, and analysisalongside Emirati CBL Foundations Course graduates   </li><li>Conduct OJT and mentoring ofapprentice level Technical Lead/Systems Engineersto improve theirproficiencyand grow their skills   </li><li>Manage execution ofindividualM&Sprojects   </li><li>Develop M&S project plansandobjectives, selectappropriate tools(e.g., Ansys, MATLAB, etc.), communicate M&S eventobjectivesto the assigned team,facilitatethe M&S effort,validateresults, and provide SME inputs onthe interpretationof results   </li><li>Manage the lab backlogs and perform planning; perform system-level upgrades; support maintenance of the lab equipment   </li><li>Review and advise on software development policies and procedures   </li><li>Work with reach-back support engineers and SMEs to gain andmaintainexpertisein CBL Foundations Course topics and co-development technical areas(e.g., M&S tools and techniques, communications systems, mission operations, emerging technologies, etc.)   </li><li>Other related duties asrequired(e.g., documentTechnical Lead/Systems Engineer (TL/SE)apprentices’ qualifications, performsystemupgrades/maintenance, etc.) </li></ul> Essential Qualifications and Experience You Must Have: <ul><li>Bachelor’s degree in systems engineering </li><li>NativeEnglishspeaker or advancedproficiencyin English   </li><li>Valid passport (or ability to get one)   </li><li>Ability toattainimmigration and work permit authorisationforAbu Dhabi, UAE for four (4) years </li><li>Eligibility to access UAE Ministry of Defence (MOD) locations  </li><li>Qualified trainer in CollinsAerospaceor to a recognised standard externally  </li><li>Strongverbaland written communicationskills in the English Language  </li><li>Demonstrated ability to lead technical teams   </li><li>12+ years of systems development experience   </li><li>8+ years of team leadership and project/program planning and execution experience  </li><li>5+ years of M&S experience  </li><li>Understanding of Arabic culture, sensitivity to the Islamic environment, and ability to teach and work in the program’s environment  </li><li>Experience interacting with customer representatives and leadership  </li><li>Experience with teaching/mentoring junior technical personnel/students  </li><li>Experience in the classroom teaching and guiding students during self-guided learning   </li><li>Military communications systems experience (e.g., datalinks, networks,radios, RF, etc.)   </li><li>Applied knowledge of M&S principles and practices in a communicationssystemsrelated domain   </li><li>Demonstrated ability to conduct short-term studies, translate project requirements into model contexts, and coordinate withSMEsand stakeholders tomeetM&S project objectives   </li><li>Ability to plan and leadthe execution ofM&S technical projects  </li><li>Ability to derive and specify clear requirements with measurable acceptability criteria for M&S projects  </li><li>Ability toassess and communicatethe level of confidence/ risk associated with M&Sprojectfindings  </li><li>Ability to present model and simulation designs, implementation architectures, and results to M&S professionals and senior decision makers  </li></ul> Qualifications and Experience We Prefer: <ul><li>Native speaker or advancedproficiencyin Arabic   </li><li>IT software (e.g., Microsoft Server) certifications   </li><li>Certified Modelling & Simulation Professional (CMSP) certification </li><li>Systems Engineering related certifications  </li><li>Cybersecurity certifications   </li><li>Artificial Intelligence (AI) certifications / coursework   </li><li>Experience with scripting languages (e.g., Python, PowerShell) Experience with Software Tool Kits (STKs), writing software adapters, use of AI agents  </li><li>Experience using MATLAB, Ansys, or other M&S software applications   </li><li>Familiar with agile software development   </li><li>Familiar with IT infrastructure software applications (e.g., MS Server)  </li><li>Ability to plan and lead the execution ofhighlycomplexcommunications systems/networks M&S technical projects  </li><li>Ability to develop and document mission threads   </li><li>Military experience or military related programs  </li><li>Understanding of RTX Collins Aerospace and its policies/procedures  </li></ul> Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.] Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms </div>

0 to 0 years Bayt

Senior Data Scientist Team Lead

On-site - UAE 4 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job PurposeAt Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics. As a Data Scientist Team Lead you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams. In this role you will: <ul><li>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.</li><li>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.</li><li>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.</li><li>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.</li><li>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.</li><li>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.</li><li>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.</li></ul> QualificationTo be considered for the role, you must meet the below requirements: Qualifications: <ul><li>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.</li></ul> Experience: <ul><li>7-10+ years of hands-on experience in the Analytics ecosystem including:</li></ul> <ol><li><ol><li>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.</li><li>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).</li><li>5-7 years hands-on experience with SQL, R, Python.</li><li>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).</li><li>3-5 years hands-on experience building libraries and packages to be re-used by others.</li><li>3-5 years hands-on experience building DS Solutions for production usage.</li><li>Team player with a problem-solving attitude.</li><li>Experience of leading & delivering advanced analytical projects to large, complex organisations in a multi-functional environment.</li><li>Able to challenge and review the quality and value generated from analytical output.</li><li>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.</li></ol></li></ol> Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more. Salary & benefitsFind out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers </div>

0 to 0 years Bayt

Senior AI Architect

On-site - UAE 28 May 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. TheGenesys AI Architect is a senior presales AI specialist who operates across three core motions:   <ul><li>Driving strategic AI opportunities with customers and sales teams  </li><li>Scaling the field through reusable assets, technical enablement, and coaching </li><li>Shaping product and go-to-market direction through real-world customer and field feedback  </li></ul>This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.  Key Responsibilities:  <ul><li>Design end-to-end AI systems for customer experience use cases.Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.   </li><li>Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.  </li><li>Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.  </li><li>Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.  </li><li>Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.  </li><li>Leverage expert-level knowledge of Genesys AI capabilitiesto articulate and demonstrate product value to customers and prospects.  </li><li>Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.  </li><li>Design and deploy AI prototypes in sandboxand/or customer development environments to validate use cases, integrations, latency, and success criteria,and to highlight the differentiated value of Genesys AI.  </li><li>Partner with account teams and Professional Services to transition successful prototypes into production pilotssupporting technical handoff, hardening, KPI alignment, and business outcome validation.  </li><li>Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.  </li><li>Develop reusable technical assetsand enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.  </li><li>Provide technical feedback and strategic insights to Product Management and Engineeringon AI product design, implementation considerations, and customer-driven enhancements.  </li><li>Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy.  </li></ul>Requirements:  <ul><li>AI Architecture & Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.  </li><li>Enterprise Integration & Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.  </li><li>Evaluation, Governance & Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.  </li><li>Executive Communication & Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.  </li><li>Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.  </li><li>Technical Demonstration Prowess:Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.  </li><li>Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.  </li><li>Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.  </li><li>Executive Presence:Proven ability to influence CIO/CTO decision-makers.  </li><li>Strong understanding of the Genesys Cloud platform and Genesys AI preferred.  </li><li>Foundational understanding of programming concepts (Python preferred).  </li></ul>#LI-MC1 If a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com. Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. </div>

0 to 0 years Bayt

Principal AI Solution Architect

On-site - UAE 15 July 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. The Genesys Principal AI Solution Architect is a senior presales AI specialist who operates across three core motions:   <ul><li>Driving strategic AI opportunities with customers and sales teams  </li><li>Scaling the field through reusable assets, technical enablement, and coaching </li><li>Shaping product and go-to-market direction through real-world customer and field feedback  </li></ul>This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.  Key Responsibilities:  <ul><li>Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.  </li><li>Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements. </li><li>Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption. </li><li>Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints. </li><li>Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness. </li><li>Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects. </li><li>Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments. </li><li>Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI. </li><li>Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation. </li><li>Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions. </li><li>Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content. </li><li>Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements. </li><li>Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy. </li></ul>Requirements:  <ul><li>AI Architecture & Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk. </li><li>Enterprise Integration & Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access. </li><li>Evaluation, Governance & Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control. </li><li>Executive Communication & Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization. </li><li>Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline. </li><li>Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact. </li><li>Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning. </li><li>Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency. </li><li>Executive Presence: Proven ability to influence CIO/CTO decision-makers. </li><li>Strong understanding of the Genesys Cloud platform and Genesys AI preferred. </li><li>Foundational understanding of programming concepts (Python preferred). </li><li>Fluency in English and Arabic languages.</li><li>French language fluency as a plus.</li></ul>#LI-MC1 Working at Genesys <ul><li>AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.</li><li>A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.</li><li>Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.</li><li>Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.</li><li>Recognized globally – Genesys is Great Place to Work®certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.</li></ul>Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: <ul><li>Our Talent Acquisition team reviews your application with the hiring team.</li></ul><ul><li>A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. </li></ul><ul><li>Next, you'll meet the hiring manager and other members of the interview team.</li></ul><ul><li>We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.</li></ul><ul><li>After interviews are complete, our team will follow up with the final steps.</li></ul>Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available. Get notified about relevant opportunities. Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com. Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. </div>

Bayt

Program/Training Director

Remote - UAE 22 July 2026

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Date Posted: 2026-07-21&#xa;&#xa;Country: United Arab Emirates&#xa;&#xa;Location: AE-UNITED ARAB EMIRATES-CLIENT SITE ~ United Arab Emirates Remote ~ (External Site)&#xa;&#xa;Position Role Type: Onsite At RTX, the world's largest aerospace and defence company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defence industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defence. Collins Aerospaceis seekingaCBL Program/Training Director,to manage the Modelling and Simulation (M&S) lab engineering & training team,able to support a three (3) month initiation and training period in the UK followed by a four (4) year assignment in Abu Dhabi,United Arab Emirates (UAE). This position is in support of a long-term communications systems modelling and simulation(M&S)laboratory and academics program.  Candidates must ensure their resumesincludessufficient detail todemonstratealignment with the job requirements, including relevant academic and technical qualifications, and experience.   As this role is primarily based in the UAE, the candidate must successfully complete all requiredbackgroundand pre-hire immigration checks and be eligible to obtain the right to work andresidein the country. The company will support the candidate through the relevant application process.  Due to the nature of the program to remain ITAR free this position is NOT available to US candidates.  Role Overview: The Collins AerospaceProgram/Training Directorshallmanageand provideCollins Subject Matter Expert (SME) M&Sand software developmentsupport,andtrainingdelivery forthe followingareas:  <ul><li>Lead a 4-person team of SMEs providing academic instruction, staff development, and co-development support for M&S projects and software development  </li><li>Conducttrainingfor the Connected Battlespace Lab (CBL) Foundations Course   </li><li>Providetechnical project leadership and systems engineering development (SME) supporting the CBL laboratories   </li><li>Support the installation of the Connected Battlespace Lab (CBL) at a UAE site  </li><li>Leada Training Needs Analysis (TNA) and the design/development of the knowledge transfer and mentoring program for the UAE CBL   </li><li>Teach select courses in systems engineering, M&S design and development, technical projectleadershipand execution, etc.   </li><li>Provide a global understanding of the design, development, and implementation of small projects performing M&S analysis of communications systems   </li><li>Facilitateknowledge transfer to CBL Emirate personnel through co-development and execution of M&S projects and mentoring during on-the-job-training (OJT) </li></ul> Primary Responsibilities: <ul><li>ManagetheTNA and design/developmentfortheUAE CBLknowledge transferprogram  </li><li>Managetheimplementation ofthe knowledge transfer andmentoring scheme  </li><li>Responsibleas thein-country point of contact for CollinsAerospace CBL activities  </li><li>Manage Collins staff, CBL Foundations Course deliveryandCBL lab projects  </li><li>Teach M&S systems engineering concepts and approaches as part of the CBL Foundations Course   </li><li>Provide students’ academic support and mentoring to ensure successful completion of the course   </li><li>Assess students’ understanding of M&S systems engineering topics and evaluate theirproficiency   </li><li>Support the Instructional Systems Design process to develop and improve the course   </li><li>Perform in-lab M&S project design, planning, execution, and analysis alongside Emirati CBL Foundations Course graduates   </li><li>Conduct OJT and mentoring of apprentice level Technical Lead/Systems Engineers to improve theirproficiencyand grow their skills   </li><li>Manage execution of individual M&S projects   </li><li>Develop M&S project plans andobjectives, selectappropriate tools(e.g., Ansys, MATLAB, etc.), communicate M&S eventobjectivesto the assigned team,facilitatethe M&S effort,validateresults, and provide SME inputs on the interpretation of results   </li><li>Manage the lab backlogs and perform planning; perform system-level upgrades; support maintenance of the lab equipment   </li><li>Review and advise on software development policies and procedures   </li><li>Work with reach-back support engineers and SMEs to gain andmaintainexpertisein CBL Foundations Course topics and co-development technical areas (e.g., M&S tools and techniques, communications systems, mission operations, emerging technologies, etc.)   </li><li>Other related duties asrequired(e.g., document Technical Lead/Systems Engineer (TL/SE) apprentices’ qualifications, perform system upgrades/maintenance, etc.)  </li></ul> Essential Qualifications and Experience You Must Have: <ul><li>Bachelor’sDegree inone or more of therelevanttechnical disciplines </li><li>Qualified trainerrecognised toCollinsAerospaceorexternal industrystandards  </li><li>NativeEnglishspeaker or advancedproficiencyin English   </li><li>Valid passport (or ability to get one)   </li><li>Ability toattainimmigration and work permit authorisationforAbu Dhabi, UAE for four (4) years   </li><li>Eligibility to access UAE Ministry of Defence (MOD) locations  </li><li>Collins Aerospaceprogrammanagement experience  </li><li>Experienceof CollinsAerospaceprocedures  </li><li>Systems development experience   </li><li>Military communications systems experience (e.g., datalinks, networks, radios, RF, etc.)   </li><li>Strongverbaland written communicationskills in the English Language  </li><li>Demonstrated ability to lead technical teams   </li><li>Experience interacting with customer representatives and leadership  </li><li>Experience with teaching/mentoring junior technical personnel/students  </li><li>Experience in the classroom teaching and guiding students during self-guided learning   </li><li>Applied knowledge of M&S principles and practices in a communications systems related domain   </li><li>Demonstrated ability to conduct short-term studies, translate project requirements into model contexts, and coordinate with SMEs and stakeholders to meet M&S project objectives   </li><li>Ability to plan and lead the execution of M&S technical projects  </li><li>Ability to derive and specify clear requirements with measurable acceptability criteria for M&S projects  </li><li>Ability to assess and communicate the level of confidence / risk associated with M&S project findings  </li><li>Ability to present model and simulation designs, implementation architectures, and results to M&S professionals and senior decision makers  </li><li>Understanding of Arabic culture, sensitivity to the Islamic environment, and ability to effectively teach and work in the program’s environment </li></ul> Qualifications and Experience We Prefer: <ul><li>Native speaker or advancedproficiencyintheArabicLanguage  </li><li>IT software (e.g., Microsoft Server) certifications   </li><li>Certified Modelling & Simulation Professional (CMSP) certification   </li><li>Systems Engineering related certifications   </li><li>Cybersecurity certifications   </li><li>Artificial Intelligence (AI) certifications / coursework  </li><li>PrinceII or PMP Qualified  </li><li>Experience with scripting languages (e.g., Python, PowerShell  </li><li>Experience with Software Tool Kits (STKs), writing software adapters, use of AI agents </li><li>Experience using MATLAB, Ansys, or other M&S software applications   </li><li>Familiar with agile software development   </li><li>Familiar with IT infrastructure software applications (e.g., MS Server)  </li><li>Ability to plan and lead the execution ofhighly complexcommunications systems/networks M&S technical projects  </li><li>Ability to develop and document mission threads   </li><li>Experienceworkingin the Middle Eastandwith native Arab cultures   </li><li>Military experience or military related programs  </li><li>Earned Value Management  </li></ul> Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.] Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms </div>

0 to 0 years Bayt

Solutions Consultant

On-site - UAE 6 August 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Detail Get the latest details. Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary Your Career As a Domain Consultant for SOC Transformation, you will be the expert for our Cortex portfolio, a Next-Gen AI-powered security operations platform. You will play a key role in defining technical solutions that secure a customer’s key business imperatives. You evangelize our industry-leading solutions in Security Intelligence and Automation, XDR, Attack Surface Management, SOAR, and Incident Response that establish Palo Alto Networks as a customer’s cybersecurity partner of choice . Your Impact<ul><li>Collaborate with account teams to recommend and develop customer solutions within your assigned specialization area . </li><li>Present to customers as our expert at all levels in the customer hierarchy, from practitioner to senior leadership . </li><li>As the main technical point of contact for Cortex, you will assist and collaborate to respond effectively to RFIs/RFPs . </li><li>Lead and support customer demonstrations that showcase our unique value proposition . </li><li>Scope and lead Proof of Value (PoV) projects for prospective customers and partners based on best practices to ensure technical win in your assigned opportunities . </li><li>Drive high technical validation and PoV win rates within your assigned specialization area . </li><li>Responsible for discussing and highlighting product alignment with customer requirements and differentiation . </li><li>Architect solutions that will help our customers strengthen and simplify their security posture . </li><li>Document High-Level Design and Key Use Cases to ensure proper implementation and value realization of Palo Alto Networks Solutions . </li><li>Help our customers build and develop further their services around Cortex solutions . </li><li>Lead conversations about industry trends and emerging changes to the security landscape . </li><li>Discuss, with credibility, competitive offers in the marketplace and position ours as the best alternative . </li><li>Position Palo Alto Networks or Partner delivered services as appropriate to ensure proper implementation and value realization of Palo Alto Networks solutions . </li><li>Act as a conduit for customer feedback to Product Management, Technical Marketing, competitor intelligence, and R&D to create requirements and deliver product features for our customers </li></ul>The TeamOur Domain Consultant team members work hand-in-hand with organizations in the region to keep their digital environments protected. We educate, inspire, and empower our potential clients in their journey to security. You are empowered with unmatched systems and tools and a team built on joint success. You won’t find someone at Palo Alto Networks that isn’t committed to your success – with everyone pitching in to assist when it comes to solutions selling, learning, and development Qualifications Your Experience<ul><li>6+ years experience in Security Operations or pre-sales/sales engineering within SIEM, SOAR, SOC, and/or XDR/EDR environments </li><li>Experience in working with customers, demonstrating problem-solving skills and a can-do attitude . </li><li>Solid understanding of Security Operations Center processes </li><li>Advanced knowledge of SIEM and/or SOAR solutions </li><li>Advanced knowledge of Endpoint Security XDR/EDR solutions. </li><li>Scripting experience is a plus - Python preferred </li><li>Understanding of Cloud Technologies and DevOps is preferred </li><li>Proficient in English and Arabic </li></ul>Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. Apply Current Employees, apply here </div>

Full Time 0 to 0 years

Forward Deployed Engineer (Agentic AI)

On-site - UAE - Dubai 26 July 2026

Information Technology

About Rimini Street, Inc. Rimini Street, Inc. (Nasdaq: RMNI), a Russell 2000® Company, is a proven, trusted global provider of end-to-end, mission-critical enterprise software support, managed services and innovative Agentic AI ERP solutions, and is the leading third-party support provider for Oracle, SAP and VMware software. Our comprehensive portfolio of unified solutions help run, manage, support, customize, configure, connect, protect, monitor, and optimize enterprise application, database and technology software, enabling our clients to achieve better business outcomes, significantly reduce costs and reallocate resources towards strategic projects. The Company has signed thousands of contracts with Fortune Global 100, Fortune 500, midmarket, public sector and government organizations who selected Rimini Street as their trusted, proven mission-critical enterprise software solutions provider and achieved better operational outcomes, realized billions of US dollars in savings and funded AI and other innovation investments. We are actively seeking a Forward Deployed Engineer (Agentic AI) to join our Innovation team. The role embeds with enterprise clients remotely, with onsite visits as engagements require. Position Summary Reporting to the VP, Innovation, Solution Delivery, the Forward Deployed Engineer (Agentic AI) embeds with enterprise clients to design, build and operationalize agentic AI solutions in production. You will build production outcomes for clients, integrate agentic systems with enterprise platforms and systems of record, and stay accountable through cutover, early production and handover to ongoing support. The role is platform-agnostic by design and adapts to whichever AI platform best fits the client, including hyperscaler AI services, Service Now and other enterprise AI platforms. Essential Duties And Responsibilities Lead technical discovery, scope agentic AI use cases, and translate business problems into engineering deliverables with measurable success criteria such as cycle-time reduction, support deflection, automation rate, security and governance success rate and adoption rate. Design target architectures that fit the client's environment, regulatory posture and platform preferences, selecting the right substrate per engagement across hyperscaler AI services, Service Now and other enterprise AI platforms. Write production-grade code to deliver the solution, working inside the client's source control, CI/CD and deployment infrastructure, and within enterprise release governance including change approvals, separation of duties, audit evidence and rollback planning. Build and tune retrieval pipelines, prompt architecture, guardrails, agent orchestration and human-in-the-loop controls that hold under real production variation. Implement enterprise-safe agent tool execution, including permission scoping, approval gates, audit trails and rollback paths for any agent action that touches systems of record. Build evaluation suites that catch hallucinations, regressions, grounding gaps and quality drift, and implement production observability for latency, token usage, error rates, accuracy and output drift. Integrate solutions with client identity, secrets management, network controls, incident response and compliance tooling. Stay engaged through cutover and the first production iteration cycle, then run a structured handover to the ongoing support team, including documentation, runbooks and knowledge transfer. Act as an escalation backup to the support team after handover, stepping back in when issues exceed the support team's depth or when the system needs architectural intervention. Build trusted advisor relationships with client engineering, data, security and business stakeholders, and communicate clearly to both engineering teams and C-level audiences. Abstract field learnings into reusable patterns, accelerators and reference architectures that feed back into Innovation and shape product direction, methodology and the next engagement. Experience This is a Principal-level role. We are looking for engineers with the depth to operate independently inside enterprise client environments, the breadth to span production engineering and applied AI, and the demonstrated ability to ship in a discipline that is still being defined. We weight recent, hands-on agentic AI work heavily, recognising that production agentic systems are a young discipline. Equivalent experience from adjacent disciplines, including machine learning engineering, applied AI research with production deployment exposure, or senior backend engineering with recent agentic shipping, is welcomed. 8+ years of professional engineering experience across production systems, with significant production rather than purely advisory time. 2+ years shipping AI or machine learning systems into production, with demonstrated hands-on agentic or LLM-based work. Proven track record working directly with Fortune 500 or Global 2000 enterprise clients in ambiguous, complex environments. Track record of operating across the full lifecycle of a system, including architecture ownership, handover to support and ongoing escalation support. Demonstrated ability to learn fast and ship in emerging technical disciplines. Candidates whose recent agentic AI work was learned quickly on the back of strong fundamentals are explicitly in scope. Enterprise systems-of-record grounding: hands-on experience with an ERP we support (SAP, Oracle E-Business Suite, JD Edwards), or strong business-process depth in core enterprise processes such as procurement, finance and order-to-cash. Direct SAP or Oracle E-Business Suite experience preferred. Skills ERP and enterprise systems experience across SAP, Oracle E-Business Suite, JD Edwards, infor, Service Now, Salesforce, Workday or other systems of record. Direct SAP and Oracle EBS experience highly valued. Required for ERP-anchored regional seats. Experience with multiple agentic AI platforms, demonstrating ability to deliver on whichever platform the client has standardized on. Prior experience as a Forward Deployed Engineer, Applied AI Engineer or equivalent embedded delivery role at an AI lab, hyperscaler or systems integrator. Production Python and at least one additional enterprise or full-stack language such as Type Script, Java, Go, C# or Scala, including modern agent frameworks and patterns. SQL and data modelling fluency, including the ability to reason about enterprise data quality, lineage, permissions and operational semantics. Hands-on retrieval-augmented generation, including chunking, embeddings, vector stores and reranking. Evaluation suite design for LLM-based systems, including regression detection, hallucination measurement and grounding checks. Production observability for AI systems, including latency, token usage, error rate and output drift instrumentation. Working knowledge of at least one major agentic AI platform such as AWS Bedrock, Azure AI, Google Vertex AI, Service Now AI and willingness to learn others as engagements demand. Agent tool execution and governance, including the Model Context Protocol (MCP) or equivalent tool interfaces, permission scoping, scoped credentials, approval gates, audit trails and safe execution controls. Enterprise integration fundamentals, including REST and event-driven patterns, identity flows such as OIDC and SAML, and secure deployment into client-controlled environments. UI and front-end fluency in modern web frameworks such as Angular, React or equivalent, sufficient to build or extend the user-facing layer of agentic solutions. Durable execution frameworks, event-driven architectures or workflow orchestration at enterprise scale. Exceptional written and verbal communication across deep technical and executive audiences, with strong consultative and outcomes-driven instincts. High autonomy, resilience and pragmatism in legacy and politically complex environments, with the proactive discipline needed for effective remote embedding. Education Bachelor’s degree in computer science, engineering, information systems or related field, or equivalent practical experience. Location Remote – Dubai, UAE Travel Region-specific (see regional variants of this role). Travel typically 25 percent to work with clients, prospects, partners or attend events. Why Rimini Street? We are looking for talented, passionate people to help us build our future at Rimini Street. We hire only the best, the most extraordinary professionals and provide compensation, bonuses, and benefits to match the skills of our top-performing team members. Do you thrive in a fast-paced environment, enjoy growing together, and get excited about learning new skills? Are you looking for an opportunity to make a true impact as part of a team of extraordinary professionals? This is the place for you. Our work is challenging and meaningful. We start and end each day with a sense of achievement and purpose guided by our core values, the Four Cs: Company We dream big and innovate boldly. Colleagues We work with extraordinary people who create a culture of mutual respect and collaboration. Clients We relentlessly pursue solutions that help clients achieve their goals. Our unmatched client care is rooted in our passion for exceptional service. Community We believe in leaving the world a better place than we found it. With the Rimini Street Foundation, we’ve made positive impacts in six continents for over 425 charities. Accelerating Company Growth Nasdaq-listed under ticker symbol RMNI since October 2017 Over 6,300+ signed contracts to date, including Fortune 500 and Global 100 companies Over 2,000 team members in 23 countries US and international recognition for industry leadership and philanthropic efforts. See all of our awards and recognitions here: https://www.riministreet.com/company/awards/ Rimini Street is committed to creating a diverse and inclusive environment and is proud to be an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, national origin, sexual orientation, gender or gender identity, disability, protected veteran status, or any other characteristic protected by law. To learn more about how Rimini Street is redefining the enterprise software support industry, visit http://www.riministreet.com Please Note: Rimini Street does not accept resumes submitted by recruiting/staffing firms unless specifically requested by Human Resources. Unsolicited resumes will be ineligible for referral fees.

0 to 0 years Bayt

Regional Sales Engineer

Remote - UAE 8 July 2026

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Are you ready for your next real security challenge? Are you passionate about helping organisations stop breaches using a platform that just works? If so, CrowdStrike is seeking a Sales Engineer with significant security expertise. You should be able to articulate how current security solutions are designed and deployed, and why they are failing. What You’ll Do: <ul><li>Deliver technical product presentations & demonstrations. </li><li>Configure product installations and customisations in a POV engagement </li><li>Collaborate with the Product Management team as a liaison for key accounts and their technical product requirements. </li><li>Provide informal training to the Sales team on CrowdStrike technology and support for technical sales and competitive messaging. </li><li>Work as a Trusted Advisor within our prospects and customers in order to gain mind-share and ensure project success. </li></ul>What You’ll Need:  <ul><li>Experienced in endpoint or network security space – AV, EDR, incident response, forensics, SIEM, firewall, HIPS/IDS, etc. </li><li>Strong understanding of Windows, macOS, and Linux operating systems </li><li>Can easily articulate complex security problems to a diverse set of audiences </li><li>Strong self-starter with the ability to work independently </li><li>Can work collaboratively with Sales, Marketing, Support, and Engineering; the Sales Engineer should be the technical bridge between CrowdStrike and prospects/customers </li><li>Excellent communication and presentation skills with the ability to present to a variety of external audiences, including C-level executives </li><li>Bachelor’s degree or higher in a relevant field </li><li>Sales engineering background or + years of relevant work experience in West Africa </li><li>Ability to travel as required to West Africa region </li><li>Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. </li></ul>Bonus Points:  <ul><li>Experience with malware, threat intelligence, and/or sandbox analysis </li><li>Experience with programming or scripting languages such as PowerShell, Python, and Bash </li><li>Experience with virtualisation/VDI technologies </li><li>Experience with large scale cloud platforms such as AWS, Azure, GCP, etc. </li><li>Understanding of the OSI model </li><li>Certifications such as CEH, CISSP, OSCP, and SANS </li></ul>#LI-Remote #LI-AL1 Benefits of Working at CrowdStrike: <ul><li>Market leader in compensation and equity awards </li><li>Comprehensive physical and mental wellness programs </li><li>Competitive vacation and holidays for recharge </li><li>Paid parental and adoption leaves </li><li>Professional development opportunities for all employees regardless of level or role </li><li>Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections </li><li>Vibrant office culture with world class amenities </li><li>Great Place to Work Certified™ across the globe </li></ul>CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. </div>

0 to 0 years Bayt

Machine Learning Systems Engineer

On-site - UAE 29 May 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries. We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models. This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems. Responsibilities Backend Architecture & System Ownership <ul><li>Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems. </li><li>Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration. </li><li>Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows. </li><li>Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails. </li><li>Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content. </li><li>Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies. </li><li>Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution. </li></ul>AI/ML Integration & Model Workflows <ul><li>Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows. </li><li>Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies. </li><li>Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades. </li></ul>Model Serving & Performance Optimization <ul><li>Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths. </li><li>Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization. </li><li>Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate. </li><li>Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools. </li><li>Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search. </li><li>Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval </li></ul>Infrastructure, Reliability & Observability <ul><li>Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems. </li><li>Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices. </li></ul>Collaboration & Engineering Leadership <ul><li>Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features. </li><li>Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team. </li><li>Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices. </li><li>Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns. </li></ul> Education & Experience <ul><li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. </li><li>5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services. </li><li>Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations. </li><li>3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs. </li><li>Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis. </li><li>Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization. </li><li>Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred. </li><li>Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows. </li></ul>Technical Skills <ul><li>Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures </li><li>Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow. </li><li>Strong experience with SQL/NoSQL databases, schema design, and data modeling </li><li>Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems </li><li>Experience deploying production systems on AWS, GCP, or similar cloud platforms </li><li>Knowledge of infrastructure patterns (compute, storage, networking, observability) </li></ul>AI/ML Integration <ul><li>Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations. </li><li>Experience optimizing inference workflows for latency, throughput, reliability, and cost. </li><li>Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors. </li><li>Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate. </li><li>Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred. </li><li>Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly. </li></ul>System Design & Architecture <ul><li>Preferred understanding of distributed systems, scaling patterns, and performance engineering </li><li>Ability to design modular, maintainable, and efficient architectures </li><li>Experience with API versioning, modularization, and designing long-running workflows </li><li>Understanding of performance bottlenecks and low-latency backend patterns </li></ul>Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: <ul><li>Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ </li><li>Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. </li><li>Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. </li><li>Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io </li><li>We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. </li></ul>When in doubt, feel free to reach out through our official website. </div>

0 to 0 years Bayt

Junior Research Scientist

On-site - UAE 28 June 2026

Research & Development

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The Life Molecules & Materials Lab at New York University Abu Dhabi pursuing cutting edge research in the areas of self-organization and function of proteins seeks to recruit a junior research scientist with expertise in quantitative confocal fluorescence microscopy and membrane biochemistry. The lab is currently focused on (1) developing bottom-up approaches to study the role of membrane shape in the function of intracellular organelles such as Golgi Apparatus and (2) understanding the determinants of protein solubility in the crowded intracellular mileu. Our research integrates biochemistry with physical chemistry and soft matter physics, and employs state-of-the-art tools including analytical ultracentrifugation, optical tweezers, confocal fluorescence microscopy, SAXS, NMR spectroscopy, and Raman spectroscopy. Group members receive training at the interface between physics, biology, and materials science, and will have access to generous travel allowances to attend international conferences and engage in scientific collaborations across the globe. Candidates must have a B.S. in Physics, Chemistry, Biology, or a related field and should be proficient in basic quantitative microscopy and wet lab biochemistry techniques and have prior experience preparing and manipulating giant unilamellar vesicles. In addition, the successful candidate should demonstrate ability to independently perform quantitative data analysis using MATLAB, Python, or Mathematica etc. Good oral- and written communication skills in English are essential, along with great attention to detail and record-keeping in the lab. The successful applicant will also participate in guiding graduate- and undergraduate students in laboratory experiments and data analysis as well as assisting in drafting research papers and reports. Please note that this position is located outside of the United States and that the applicant must be willing to relocate to Abu Dhabi, United Arab Emirates. The terms of employment are very competitive and include generous benefits such as housing allowance and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled. Interested applicants are asked to submit a cover letter, curriculum vitae with a full publication list (if applicable), Transcript, a short statement of research interests, and up to two letters of reference, all in PDF format. If you have any questions, Please email Prof. Aleksander Rebane at a.rebane@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD </div>

0 to 0 years Bayt

HR Specialist - Governance & Compliance

On-site - UAE 29 July 2026

Human Resources

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job PurposeAt Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as a HR Specialist - Governance & Compliance and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage. As HR Specialist - Governance & Compliance you will support the Governance & Compliance practices of the HR department by leveraging industry best practice. You will collaborate with all HR teams and other relevant internal stakeholders, such as Operations, Internal Audit and Enterprise Data & Analytics (ED&A). Through applying Governance and Compliance practices, the role’s primary purpose is to facilitate efficient and rewarding employee experiences across all people lifecycle dimensions, such as performance management, productivity, learning and professional development, attrition and retention. You will apply process improvement and standardisation frameworks, quality assurance (management & control) principles and continuous monitoring compliance controls across process, system, and data landscapes and support Enterprise Strategic Themes such as Regulatory Compliance, Business Agility & Efficiency, Business Growth, and Employee Experience. In this role, you will: <ul><li>Enable process governance by conducting, in collaboration with the People Experience Design team, process landscape assessments across the People Experience lifecycle and the wider One HR organisation to determine process effectiveness, eliminate inefficiencies, and implement innovative solutions, including chatbots, AI-driven process steps, and Robotic Process Automation (RPA), while supporting the associated change management activities.</li><li>Ensure all processes across the employee lifecycle are fully GDPR compliant and aligned with international best practices.</li><li>Support industry research to identify best practices in process governance, automation, and business process improvement, while validating and collating current and future process, technology, and data needs across the One HR organisation.</li><li>Champion a culture of autonomy, openness, and continuous process improvement based on Lean-Agile principles.</li><li>Support the implementation of the One HR Data Governance Strategy, ensuring alignment with Emirates Group corporate governance and compliance requirements across Data Protection (Access, Security and Privacy), Data Quality Assurance, and Metadata Management.</li><li>Perform data governance operational activities in collaboration with Enterprise Data & Analytics (ED&A), business Data Stewards, and Business Privacy Leads to ensure people data is governed effectively and treated as a corporate asset across HR systems and the Enterprise Data Platform (EDP).</li><li>Support the HR Data & Analytics function in defining a self-service analytics model and enable data risk and compliance practices through collaboration with HR Data & Analytics and HR Shared Services & Employee Data Management teams.</li><li>In collaboration with the HR Governance & Compliance Manager, implement and maintain an internal quality and control framework by evaluating process risk profiles, implementing appropriate controls, and continuously monitoring their effectiveness.</li></ul><ul><li>Support knowledge management practices by maintaining People Experience manuals, Standard Operating Procedures (SOPs), and user-owned documentation, ensuring they remain accurate, compliant, and aligned with changing business requirements, system upgrades and process improvements.</li><li>Facilitate the adoption of process and data governance across the One HR organisation through coaching, Lean Academy initiatives, Business Privacy Lead and Analytics Power User training, systems and SOP training, and data management best practices.</li></ul> QualificationTo be considered for this role, you must meet the below requirements: <ul><li>A minimum of 5 years' relevant experience in one or more of the following areas: Industrial Engineering, process improvement methodologies (e.g. Lean, Six Sigma, Supply Chain Management), project management, business consultancy, innovation and Robotic Process Automation (RPA), or compliance/audit within a business environment.</li><li>Bachelor's degree in a relevant discipline, such as Industrial Engineering, Business Administration, Operational Research, Commerce, Finance, or Information Technology.</li><li>Experience within the airline industry and/or working with HR systems and products is desirable.</li></ul> You will have an edge, if you have: <ul><li>Proven ability to build trusted relationships and collaborate effectively across diverse teams and stakeholders.</li><li>Strong stakeholder management, presentation, communication, and multitasking skills, with the ability to work across multiple departments and competing priorities.</li><li>Knowledge of HR environments, Oracle ERP, or other leading HR systems, together with strong analytical skills and the ability to translate data into actionable business insights.</li><li>Experience with analytics, data governance, and reporting tools such as Power BI, MicroStrategy, SAP BusinessObjects (SAP BO), SQL, and Python, along with experience working in a multicultural environment.</li></ul>Emirates Group is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a HireVue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group. Salary & benefitsJoin us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it’s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section. </div>

0 to 0 years Bayt

QA Engineer

On-site - UAE 9 July 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors – with a deep-rooted expertise in Financial Services and Banking – to bridge the gap between complex data and actionable business strategy. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. On a data platform, the thing under test is the data. As a QA Engineer, you own how we prove our platforms work end to end – from the pipelines that move and transform data to the API layers that expose it. This is a verification role: you don't build the pipelines, you build the confidence that they are correct. You won't just be "checking boxes"; you will be thinking critically about how data flows from source to insight and out to the consumer, ensuring every transformation and every endpoint maintains the integrity required for high-stakes financial services environments. Your responsibilities as a QA Engineer include; Designing, building, and owning automated test suites – functional, integration, and end-to-end – embedded into CI so quality gates run continuously. Testing the platform's API layer through contract testing, schema validation, and end-to-end checks against externally-consumed and partner-facing data APIs. Performing rigorous source-to-target reconciliation and checksums to ensure no "silent failures" occur during complex AWS Glue or Data Factory transformations. Extending and running Soda Core checks across Bronze, Silver, and Gold layers, and verifying that quality gates fire correctly as part of your automated suites. Monitoring automated alerts, performing initial root-cause analysis on data drift or schema failures, and collaborating with squads to implement permanent countermeasures. Working alongside Data Engineering squads to embed automated validation into live data flows, and supporting the data contracts and OpenMetadata lineage that producers and consumers rely on. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data engineering and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions. What we need from you: 2–4 years of experience in QA / test automation, ideally on data-intensive or backend platforms. Strong proficiency in SQL and Python for test automation, data validation, and scripting. Practical experience with API and contract testing (e. g. REST, schema/contract validation). Hands-on experience designing and maintaining automated test frameworks and CI-embedded suites. Practical understanding of Lakehouse architectures and the Medallion (Bronze/Silver/Gold) design pattern. Hands-on experience with AWS services (specifically S3, Glue, and Athena) or similar cloud data stacks. A degree in Computer Science, Data Science, Information Systems, or a related field. The ability to look beyond a failed check to understand the root cause and its broader business impact. An uncompromising eye for accuracy, ensuring referential integrity, reconciliation, and checksums are perfectly aligned. Comfortable working in fast-paced environments using Jira and participating actively in Scrum ceremonies. The ability to communicate technical issues clearly and constructively, fostering a culture of quality within the engineering team. It would also be great if you have: Experience testing externally-consumed or partner-facing APIs, particularly in regulated data-sharing contexts. Hands-on exposure to data-quality tooling such as Soda Core or equivalents. Prior exposure to OpenMetadata or other lineage and metadata management tools. A proactive drive to identify repetitive tasks and develop scripts to increase team efficiency. Familiarity with the specific data challenges found within the Financial Services or Banking sectors. </div>

Bayt

Senior Engineer, Platform Engineering and Architecture

On-site - UAE 8 August 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> JOB SUMMARY / INTRODUCTION <ul><li>To lead the engineering, architecture, and run-state ownership of the bank's enterprise AI & Agentic Platform, ensuring it operates as a reliable, secure, observable, and bank-grade production platform supporting agents and AI workloads across the Group.</li><li>The role is the senior technical authority for platform engineering and architecture across the agentic runtime, model gateway, integration fabric, identity layer, and infrastructure backbone of the platform.</li><li>It operates in a two-in-a-box model with the existing Platform Product Owner to provide concurrent technical ownership and organizational resilience for the platform, with shared accountability for platform availability, performance, cost, security posture, and architectural evolution.</li><li>The role is deeply technical in nature, requiring hands-on engineering depth across distributed systems, agentic protocols, LLM infrastructure, identity and access management, and cloud-native platform engineering. </li></ul> KEY RESPONSIBILITIES Key Accountabilities — Platform Architecture   <ul><li>Own the end-to-end technical architecture of the AI & Agentic Platform's five-layer stack: Action Gateway, Agent Kernel, Control Plane, Knowledge Foundation, and the Users and Channels layer.</li><li>Architect and evolve the agentic runtime to natively support the emerging multi-protocol stack: Model Context Protocol (MCP) for agent-to-tool access, Agent-to-Agent (A2A) for inter-agent coordination and task delegation, Agent Communication Protocol (ACP) and equivalent emerging standards, ensuring the platform is interoperable with hyperscaler agent fabrics (Azure AI Foundry agents, AWS Bedrock Agents, Google ADK).</li><li>Design the platform's agent kernel, including agent lifecycle management, planning and reasoning loops, memory architecture (short-term, long-term, episodic), state management, session affinity, scratchpad persistence, and execution chains.</li><li>Architect the platform's knowledge foundation, including vector store selection and topology, hybrid retrieval (BM25, dense, graph), embeddings strategy, knowledge graph integration (FIBO, OWL, SHACL, SPARQL), context engineering, and grounding patterns.</li><li>Design the platform's control plane, including policy-gated execution, Know Your Agent (KYA) enforcement at runtime, agent registries, tool registries, capability discovery, evaluation pipelines, and tracing and lineage at agent and tool granularity. Key Accountabilities — Integrations & Model Layer </li><li>Architect and engineer the platform's LLM gateway and model abstraction layer, providing a unified interface across foundation model providers (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI, Cohere) with intelligent routing, fallback, retries, prompt and response caching, semantic caching, rate limiting, token accounting, cost attribution, and tenant isolation.</li><li>Design model serving patterns for managed APIs, dedicated capacity (PTUs / provisioned throughput), and self-hosted open-weight models on GPU infrastructure (vLLM, TGI, Triton, or equivalent), with appropriate trade-offs across cost, latency, sovereignty, and compliance.</li><li>Lead the integration architecture between the AI Platform and the bank's core estate, including core banking, payments, treasury, credit and risk systems, the enterprise data platform (Azure, Cloudera, Databricks), enterprise APIs, ESB, event streaming (Kafka, Event Hubs), and the data product layer. Design the action gateway as the bank's enforcement boundary for agentic action, including API mediation, contract enforcement, circuit breakers, idempotency guarantees, transactional safety, and audit-grade action logging.</li><li>Engineer the platform's tool layer and MCP server estate, including tool packaging, versioning, capability advertisement, schema enforcement, and runtime tool discovery across Wholesale, Retail, and Group functions. Key Accountabilities — Identity, Security & Governance </li><li>Architect and own the agent identity and workload identity model for the platform, including non-human identity (NHI) management, agent identity lifecycle, blended user-plus-agent identity for delegated actions, and the identity propagation chain across multi-agent flows. Design the platform's authentication and authorization architecture, including OAuth 2.1 and OIDC flows for agent-to-tool and agent-to-API interactions, just-in-time credential issuance, short-lived token exchange, mTLS for agent-to-agent communication, and integration with the bank's enterprise IAM (Microsoft Entra ID, PAM, secrets management).</li><li>Implement zero-trust principles across the agentic stack, including least-privilege scoping per agent and per task, real-time policy evaluation, behavioral posture checks, and continuous authorization rather than static service-account-style access.</li><li>Engineer the platform's runtime governance controls, including KYA enforcement, prompt and output guardrails (PII, PHI, MNPI, prompt injection defense), sensitive action approval flows, and human-in-the-loop escalation patterns.</li><li>Harden the platform to meet CBUAE, internal model risk, and Group governance requirements, including auditability, lineage, data residency, model risk controls, third-party model governance, and OWASP LLM Top 10 alignment.</li><li>Key Accountabilities — Infrastructure & Run-State</li><li>Lead the platform's cloud and infrastructure architecture across Azure (primary) and AWS, including infrastructure as code (Terraform), networking (private endpoints, peering, egress control), Kubernetes (AKS) and container orchestration, secrets management, and CI/CD pipelines.</li><li>Own platform Site Reliability Engineering (SRE), including SLO design, error budget management, observability (OpenTelemetry, traces, metrics, logs at agent and tool granularity), incident response, post-mortems, capacity planning, and cost governance for a growing fleet of agents and AI workloads in production. Operate in genuine two-in-a-box with the existing Platform Product Owner, including shared on-call, shared roadmap ownership, and shared accountability for major architectural decisions, regulator conversations, and critical incidents.</li><li>Drive engineering excellence across the platform team, including testing discipline (unit, integration, evaluation, red-teaming), documentation, infrastructure as code maturity, operational readiness reviews, and technical mentorship of platform engineers.</li><li>Represent the platform in senior technical forums with Enterprise Architecture, Cyber, Model Risk, Internal Audit, and the Group CTTO's office on architecture and engineering matters.</li><li>Engage with hyperscale, model provider, and framework vendor technical teams on platform-level integration, performance, sovereignty, and cost optimization. REQUIREMENTS / QUALIFICATIONS Technical Expertise </li><li>Deep, current expertise in agentic AI architecture and the modern multi-protocol stack: Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Communication Protocol (ACP), and the engineering patterns required to build interoperable agentic systems on top of them at platform scale. Strong hands-on knowledge of agent orchestration frameworks (LangGraph, Google ADK, LlamaIndex, Autogen, CrewAI, OpenAI Agents SDK, or equivalent), planning and reasoning loops, multi-agent coordination patterns, agent memory systems, and evaluation harnesses (RAGAS, OPIK, LangSmith, Promptfoo, or equivalent).</li><li>Deep technical knowledge of LLM serving and inference architecture, including managed model APIs (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI), provisioned throughput / PTUs, self-hosted open-weight models, GPU scheduling, vLLM / TGI / Triton, KV-cache management, batching strategies, and the cost-latency-quality trade-offs that drive model selection.</li><li>Strong working expertise in LLM gateway and AI gateway architecture, including model routing, fallback and retry, prompt and semantic caching, rate limiting, tenant isolation, token accounting, and policy enforcement at the gateway boundary.</li><li>Deep experience in retrieval and knowledge architecture, including vector databases (pgvector, Azure AI Search, Pinecone, Weaviate, Qdrant, or equivalent), hybrid retrieval, reranking, embeddings model selection, knowledge graphs (FIBO, RDF, OWL, SHACL, Neo4j, Apache Jena), and context engineering at scale. Strong grounding in agent and workload identity, including non-human identity (NHI) governance, agent identity lifecycle, OAuth 2.1, OIDC, SPIFFE / SPIRE-style workload identity, mTLS, just-in-time credentialing, secret-less architectures, and integration with enterprise IAM (Microsoft Entra ID, Azure AD, PAM platforms).</li><li>Deep proficiency in cloud-native platform engineering on Azure (preferred) and AWS, including Terraform, Kubernetes (AKS / EKS), Helm, service mesh (Istio, Linkerd), API gateways (APIM, Kong, Envoy), private networking, and policy-as-code (OPA, Azure Policy). Strong programming proficiency in at least one of Python, Go, or Java, with active engagement in code reviews, design reviews, and platform-level engineering decisions.</li><li>Strong Site Reliability Engineering background, including production on-call, incident leadership, post-mortem discipline, SLO and error-budget design, capacity planning, and observability tooling (Open Telemetry, Prometheus, Grafana, Datadog, or equivalent) tuned for non-deterministic AI workloads. Working knowledge of integration patterns relevant to banking platforms, including event-driven architectures (Kafka, Event Hubs), API gateways, ESB, ISO 20022, payment rails, and core banking integration patterns.</li><li>Strong grounding in security engineering for regulated industries, including OWASP LLM Top 10, prompt injection defence, model supply-chain security, secrets management, network segmentation, data residency, and audit logging. Engineering Leadership & Collaboration</li><li>Demonstrated ability to operate effectively in a two-in-a-box model with another senior technical owner, including shared accountability, shared on-call, and shared decision-making.</li><li>Track record of raising engineering standards across a platform team through standards, design reviews, documentation, and direct technical mentorship. Strong written and verbal communication, with the ability to engage credibly with engineers, architects, risk and audit functions, hyperscaler and vendor technical teams, and senior business stakeholders. Minimum Experience</li><li>10+ years in software and platform engineering, with significant time spent at senior, staff, or principal engineering / architect level. Demonstrated production ownership of at least one platform serving multiple internal or external consumers at enterprise scale, ideally including agentic or LLM workloads.</li><li>Substantive experience in financial services, banking, or another comparably regulated industry. Demonstrated SRE and on-call experience on a production platform with meaningful availability and operational requirements. Track record of building, integrating, or operating LLM-based or agentic systems in production. Minimum Qualifications </li><li>Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or a related technical discipline. Preferred / Beneficial </li><li>Master's degree (MSc / MTech / MEng) in Computer Science, Software Engineering, Distributed Systems, or a related discipline preferred.</li><li>Relevant professional certifications in cloud engineering (Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS DevOps Professional, AWS</li><li>Solutions Architect Professional, Certified Kubernetes Administrator), security (CISSP, CCSP), or SRE considered an advantage.</li></ul> About Us: First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients. Life at FAB: Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization Career Development: FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development. Our Values: At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication. Join our team and be part of a journey to shape the future of banking. </div>

Full Time 0 to 0 years

{Role Not Found}

On-site - UAE - Dubai 12 July 2026

Sales

About Business Business Summary i12WRK is a No.1 Job Searching Sites in Dubai and all skilled jobs available. Business Description You can't find genuine jobs through just by agencies and online. There might be a pool of fraudsters. So, make sure to not get trapped by those scammers. Who Are I12wrk I12wrk Specially Designed for All New Jobs in Dubai with Complete Information About Job, Visitors Get Free Apply for All Jobs with simple Registration. we also guide users in terms of career management, effective recruitment and efficient management of time and flexibility and resume building through i12leran Program. We update our job database with 100+ new jobs daily to help job seekers to find their jobs in UAE. We have a service like CV writing, Resume Writing, Video Resume and we give interview coaching to help the candidate to crack the interview through the i12learn Program. What We Have i12learn: In interview prospect candidate should need best resume and need a training for crack the interview, i12learn will help to the candidates like these coaching. Consisting of both a job portal and a headhunting recruitment solution. Simple interface: The Web Application and i OS & Android Mobile app in English & Arabic. Our careers advice helps you build your CV, write your cover letter and prepare for interviews, while our game-changing tech takes your profile and matches you to the right kind of role, sending you recommendations and instant alerts. All you need to do is click apply. Highlighted Features User-friendly interface. Instant & Fastest Fresher Job Alert. Filter Job Opportunities by your Skill, Experience, industry, and so on. No scam. Only Genuine Jobs for Freshers & Experienced Professionals. 100% Safe Job Search site in UAE. Available Jobs In Dubai, UAE Apply now for Fresher & Experienced Software Developer, Software programmer, Not net software developer, Senior Integration specialist, Software Developer PHP, Html, SQL, Ajax, Trainee Software Engineering, Python Developer, Junior Developer, Java Jobs - JAVA, J2ee DEVELOPER, Software Test Engineer, ASP Net Developers, Software Quality Assurance Engineer, IT Jobs, Gulf Jobs, Bank Jobs, Management Jobs, Sales Jobs, Fresher jobs, Sales and Tele-marketing, Marketing Assistant, Marketing Executive, Marketing Coordinator. Have Queries? We are happy to answer your questions... Call to Discuss. Contact Details Address: Tiffany Tower, Dubai, United Arab Emirates Phone Number: +971 - 54360542 Website: https://i12wrk.com Detailed Business Description i12wrk: Your Gateway to New Job Opportunities in Dubai In today's competitive job market, finding genuine job opportunities can be a daunting task. With the rise of fraudulent agencies and online scams, job seekers need a reliable platform to connect them with legitimate job opportunities. This is where i12wrk comes in. We are a leading job portal based in One Business Centre, Tiffany towers, Dubai, United Arab Emirates, dedicated to providing job seekers with comprehensive information about job openings in Dubai. Our mission is to guide users in terms of career management, effective recruitment, efficient time management, and resume building through our innovative i12learn Program. About The Business Sector The business sector in which i12wrk operates is focused on connecting job seekers with job opportunities in Dubai. Dubai is a thriving hub for various industries, including technology, finance, hospitality, and more. The importance of this sector lies in its role in facilitating employment opportunities for individuals looking to start or advance their careers in Dubai. The latest trends in this sector include a shift towards digital recruitment platforms, increased emphasis on remote work options, and a growing demand for specialized skills in emerging industries. The future prospects of this sector are promising, with continued growth expected as Dubai remains a key player in the global job market. Primary List of Products and Services At I12wrk, We Offer a Range Of Products And Services To Help Job Seekers Find Their Ideal Job In Dubai. Our Primary Services Include CV Writing Resume Writing Video Resume Creation Interview Coaching through the i12learn Program These services are designed to equip job seekers with the tools and resources they need to stand out in the competitive job market and secure their dream job in Dubai. Company History & Founding Founded with a vision to revolutionize the job search experience in Dubai, i12wrk has grown from a small startup to a reputable job portal with a strong presence in the market. Our journey has been marked by milestones that reflect our commitment to providing high-quality services to both job seekers and employers in Dubai. Through dedication, innovation, and a customer-centric approach, we have established ourselves as a trusted partner for individuals looking to advance their careers in Dubai. Unique Value Proposition What sets i12wrk apart from its competitors is our commitment to providing genuine job opportunities to job seekers in Dubai. We prioritize transparency, authenticity, and reliability in all our dealings, ensuring that our users can trust us to connect them with legitimate job openings. Our platform is designed to simplify the job search process and provide job seekers with the support and resources they need to succeed in their job search journey. Trustworthiness At i12wrk, trustworthiness is at the core of everything we do. We have earned a reputation as a reliable and trustworthy partner for job seekers and employers alike. Our commitment to ethics, transparency, and reliability sets us apart in the job portal industry, making us a preferred choice for individuals looking for genuine job opportunities in Dubai. We believe in building long-term relationships based on trust and integrity, ensuring that our users feel confident in their job search journey with us. Management Team Our management team at i12wrk comprises a group of seasoned professionals with extensive experience in the job portal industry. Led by visionary leaders, our team is dedicated to driving the company's growth and success through innovation, strategic planning, and a customer-focused approach. With a diverse set of skills and expertise, our management team is committed to delivering exceptional services to our users and maintaining our position as a leader in the job portal market. Unique Services We Offer One of the unique services offered by i12wrk is our i12learn Program, which provides job seekers with comprehensive training and coaching to enhance their job search skills. From resume building to interview preparation, our program equips candidates with the tools they need to succeed in their job search journey. Additionally, our platform features a user-friendly interface, instant job alerts, and personalized job recommendations to streamline the job search process for our users. Foundations of Our Business Success At i12wrk, exceptional customer service is the foundation of our business success. We go above and beyond to meet and exceed customer expectations, ensuring that every interaction with our platform is seamless and rewarding. Our dedication to customer satisfaction, combined with our innovative approach to job searching, sets us apart from the competition and drives our continued success in the job portal industry. Our Innovation Strategy and Future Plans As we look to the future, i12wrk is committed to innovation, growth, and delivering exceptional services to our users. Our innovation strategy focuses on leveraging technology to enhance the job search experience, providing users with cutting-edge tools and resources to succeed in their career goals. We have ambitious plans for expansion and development, with a vision to become the leading job portal in Dubai and beyond. By staying ahead of industry trends and continuously improving our platform, we aim to offer unparalleled value to our users and partners. Conclusion In conclusion, i12wrk is your go-to destination for genuine job opportunities in Dubai. With a commitment to transparency, trustworthiness, and customer satisfaction, we stand out as a leader in the job portal industry. Our innovative services, dedicated team, and customer-centric approach set us apart from the competition and make us the preferred choice for job seekers and employers in Dubai. Choose i12wrk for a seamless job search experience and unlock new possibilities for your career growth. Products / Services Products and Services Offered by i12wrk Products i12wrk offers a wide range of products to cater to the needs of job seekers and employers in Dubai, UAE. Some of the products include: Job listings for various industries and sectors Resume building services for job seekers Employer branding solutions for companies Job matching algorithms for efficient recruitment Services i12wrk provides a range of services to help job seekers and employers connect seamlessly. Some of the key services offered by i12wrk include: Job search assistance for candidates Recruitment services for employers Career counseling and guidance Interview preparation sessions Article by Siachen Editors to aid the customer in decision making Points to Consider When Evaluating Vendors in the Technology Sector In today's fast-paced world, businesses rely heavily on technology to stay competitive and innovative. When choosing a vendor for technology products or services, there are several key points that customers should consider to ensure they make the right decision. This guide will outline the most important factors to evaluate when selecting a vendor in the technology sector. Quality of Products and Services One of the first things to consider when evaluating a vendor is the quality of their products and services. Customers should research the vendor's track record, read reviews from other clients, and ask for references to ensure they are reliable and deliver high-quality solutions. Cost and Value Cost is always a significant factor in any business decision. Customers should compare pricing from different vendors and evaluate the value they will receive for the price. It's essential to consider not just the initial cost but also the long-term benefits of the products or services. Customer Support and Service Level Agreements Effective customer support is crucial when dealing with technology products and services. Customers should inquire about the vendor's support offerings, response times, and service level agreements to ensure they will receive the assistance they need when problems arise. Security and Compliance Security is a top concern for businesses when it comes to technology solutions. Customers should assess the vendor's security measures, compliance certifications, and data protection policies to ensure their sensitive information is safe and secure. Scalability and Future-Proofing Technology is constantly evolving, so customers should consider a vendor's ability to scale their products and services to meet future needs. It's essential to choose a vendor that can adapt to changing requirements and provide solutions that will grow with the business. Reputation and Industry Experience Customers should research the vendor's reputation and industry experience to ensure they have a proven track record of success. It's essential to choose a vendor with a solid reputation and a deep understanding of the industry to provide reliable and effective solutions. Conclusion In conclusion, evaluating vendors in the technology sector requires careful consideration of multiple factors. By assessing the quality of products and services, cost and value, customer support, security measures, scalability, reputation, and industry experience, customers can make an informed decision and choose the right vendor for their technology needs. Article on latest trends and developments in this type of business Latest Trends and Developments in the Job Portal Industry Introduction The job portal industry has been rapidly evolving with the advancement of technology and changing job market dynamics. Online job portals have become a popular platform for both job seekers and employers to connect and find the right opportunities. With the rise of digitalization, job portals have revolutionized the recruitment process by making it more efficient and convenient for both parties. Current Trends in the Job Portal Industry Personalized Job Recommendations Job portals are using advanced algorithms and AI technology to provide personalized job recommendations to users based on their skills, experience, and preferences. This helps job seekers find relevant job opportunities quickly and efficiently, saving time and effort in the job search process. Mobile-Friendly Platforms With the increasing use of smartphones, job portals are optimizing their platforms for mobile devices to provide a seamless user experience. Mobile apps allow job seekers to search and apply for jobs on the go, making the job search process more convenient and accessible. Skill-Based Matching Job portals are focusing on skill-based matching to connect employers with candidates who possess the required skills for a particular job role. This ensures better job fit and increases the chances of successful recruitment for both parties. Developments in the Job Portal Industry Enhanced User Experience Job portals are continuously improving their user interface and features to provide a seamless and intuitive user experience. Features like resume builders, interview coaching, and career guidance help job seekers enhance their employability and secure their desired job roles. Integration of AI and Machine Learning AI and machine learning technologies are being integrated into job portals to automate the recruitment process, analyze candidate profiles, and predict job market trends. This helps in streamlining the hiring process and making it more data-driven and efficient. Expansion of Services Job portals are expanding their services beyond job listings to offer additional services like resume writing, interview preparation, and career counseling. These value-added services help job seekers improve their chances of landing their dream job and enhance their career prospects. Conclusion In conclusion, the job portal industry is witnessing significant growth and innovation with the adoption of advanced technologies and the introduction of new services. Job portals are playing a crucial role in connecting job seekers with employers and facilitating a seamless recruitment process. By staying updated on the latest trends and developments in the industry, both job seekers and employers can benefit from the opportunities offered by online job portals.

Full Time 2 to 3 years Naukri Gulf

AI Engineer

On-site - UAE - Dubai 20 July 2026

Information Technology

<ol><li>Design and develop AI applications for freight forwarding and logistics.</li><li>Build AI chatbots to support customers and internal employees.</li><li>Develop AI solutions for shipment tracking and shipment status updates.</li><li>Automate document processing for Bills of Lading, Commercial Invoices, Packing Lists, Delivery Orders, and Customs documents.</li><li>Develop AI-powered quotation and pricing assistants.</li><li>Create predictive models for shipment delays, transit times, and demand forecasting.</li><li>Integrate AI solutions with ERP, Transport Management Systems (TMS), Warehouse Management Systems (WMS), CRM, and freight management platforms.</li><li>Develop AI tools for email automation and customer communication.</li><li>Build dashboards and reporting solutions using AI-generated insights.</li><li>Ensure data security and compliance with company policies.</li><li>Monitor AI performance and continuously improve models.</li><li>Train employees on AI tools and promote AI adoption across departments.</li></ol>Desired Candidate Profile<ol><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>3–5 years of experience in AI, machine learning, or software development.</li><li>Experience in logistics, freight forwarding, supply chain, or transportation is preferred.</li></ol>

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