Python Developer Jobs in UAE in UAE 2026

Full Time 0 to 0 years

Field CTO

On-site - UAE - Dubai 20 July 2026

Customer Service

Chief Technology Officer AI-native transformation leader & hands-on builder-in-chief driving intelligent engineering to create real business value for enterprises. Architect what’s next. Own client revenue. Scale meaningful outcomes. Your Mission: The Rolesolving for better. You are not just a technology leader. You are the chief architect of our future and innovation leader. You lead by doing—by building systems, shipping platforms, and scaling infrastructure that powers real AI outcomes. You won’t be presenting tech strategy on Power Point. You’ll be hands-on defining foundational architecture, evolving our platform DNA, and unlocking entirely new capabilities for AI-native product development. You will head Engineering, R&D, and Strategic Partnerships from a tech standpoint, employing first-principles design to create defensible moats and net-new revenue streams. Slide decks are optional after the platform is live. We’re not hiring a spokesperson. We need a CTO who still reviews PRs, whiteboards latency trade-offs, and thinks deployment-first. Relentless prototyper, ruthless refactorer, defender of velocity—you’ll be the Directly Responsible Individual (DRI) for velocity, integrity, innovation cadence and the performance of the engineering org behind it. Your Responsibilitieswhat you will wake up to solve. This isn’t a “manage the tech team” role. You are the architect of reimagine 'what's next' and redefine the 'how' of 'what's next'. Your mission is to define the future of AI-native technology, build scalable platforms, and translate technical excellence into compounding business advantage. Here’s how you’ll make your mark: Set the North Star — Strategy & Vision Architect the future. Define the 3-year roadmap for futurify.ai & evlos™, platform evolution, and infrastructure scale on Google Cloud. Link tech to P&L. Tie every architectural bet to revenue growth, margin, and client ROI (target ≥ 30% uplift). Build the Moat — Innovation & IPPatent the edge. File 10+ patents in 2 years across hybrid human-AI workflows, adaptive learning loops, and Agent2Agent protocols. Prove novelty. Run continuous prior-art sweeps; partner with legal to lock defensible claims. Accelerate R&D. Spin up internal accelerators—e.g., ROI dashboards with self-improving ML delivering production pilots in Power Point. Maintain a “code by day 1” rule; reduce iteration loops by 40 % via agentic automation. Guardrails & reliability. Embed SRE, security, and ethical HITL checks into CI/CD; track NPS > 80 via real-time dashboards. Grow the Engine — People & Ecosystem Elevate talent. Hire, coach, and retain world-class engineers; double internal promotion rate YoY. Set the bar. Codify standards, design reviews, and architectural principles that scale across squads. Partner to win. Forge deep alliances with hyperscalers, ISVs, and research labs; present Searce’s narrative at industry forums." Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose. Functional Skills Engineering minded Business & Tech Ownership: Designs, evaluates, and evolves AI & data platforms, Decision Intelligence Engineering, MLOps, Cloud Platform Engineering - owning the blueprint end-to-end. Platform Scalability Sense: Balances performance, tech-debt, and cost to scale reliably without sacrificing maintainability. First-Principles Builder: Uses evlos-style iteration to decide what to build, evolve, or retire—never cargo-culting patterns. Operational Judgment & Reliability: Knows when to optimise vs. refactor; delivers 99.9 % uptime, security, and ethical AI guardrails. Product-Aware Systems Thinker: Aligns architecture with business impact, usability, and extensibility—ties every feature to ROI. Complexity Simplifier: Turns deep tech into plain-speak narratives for execs, engineers, and clients alike. Team-Builder & Culture Carrier: Hires, mentors, and scales “solver” talent; fosters an always-in-beta, high-ownership culture. Strategic Trade-Off Navigator: Makes context-driven calls when speed > polish or robustness > elegance; communicates rationale clearly. Tech Superpowers AI-Native Architect – Reimagines business with modern Tech to deliver platforms, accelerators & real value to clients. Process first mindset and ready to embrace agentic AI to enable process transformation. Full-Stack Platform Thinker – Builds modular, reusable services across data, MLOps, vector DBs, and Google Cloud infra. Distributed-Systems Savant – Crafts resilient, low-coupling architectures that survive burst traffic and node failure. Security & Privacy Guardian – Embeds zero-trust, privacy-by-design, and ethical guardrails into every pipeline. Multi-Agent Orchestrator – Engineers hybrid human-AI workflows, adaptive learning loops, and Agent-to-Agent protocols. Product-Minded Technologist – Balances technical rigor with user impact; ties every release to measurable ROI. Pragmatic Tool Picker – Chooses the simplest tech that compounds scalability; fluent in Python, Tensor Flow/PyTorch, Go. Engineer @ Heart – Writes, reviews, and debugs code daily; proves designs with benchmarks, not slideware. Business-first, tech-second, outcome focused technology leader." Experience & Relevance Scale & Leadership – 15 + years leading high-growth engineering orgs; built teams from 10 → 200 while preserving velocity and culture. Architecture & AI Execution – Led 0→1 and 1→100 deliveries in MLOps, LLM stacks, or large-scale data infra on Google Cloud, Databricks, AWS, Open AI; agentic workflows. Cross-Functional Business Impact – Bridged R&D, product, and GTM to deliver ≥ 30 % ROI improvements; trusted by founders and Fortune-500 execs alike. High-Stakes Decisioning & Influence – Navigated trade-offs in mission-critical, multi-region deployments; converts technical depth into board-level clarity. Pedigree Credentials – Advanced degree (MS/PhD) in CS/AI/Eng; proven industry disruption record; combines MBB-style strategy with a builder’s execution bias. Bonus Points (you will thrive if you have) Org Architect – Designed or scaled a 100 + engineer AI platform org from scratch. Patent Prodigy – Filed/secured ≥ 5 AI or distributed-systems patents. Open-Source Evangelist – Created or maintained widely adopted OSS in MLOps / vector databases. Recognized Tech Authority – Recognised expert (e.g., Google Dev Champion, AWS or Databricks) who optimises cost, latency, and security at hyperscale. Battle-Tested – Has broken production systems, learned, and automated safeguards to prevent repeats. Adoption-Focused – Proven knack for turning tech into sticky user adoption and recurring revenue. Founder Energy – Combines product vision, engineering heart, and ownership gut; bias for rapid prototyping & decision velocity within Searce “Happier” DNA Join the ‘real solvers’ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

0 to 0 years Bayt

Confluent Kafka Engineer

On-site - UAE 10 July 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary: We are seeking a highly skilled Confluent Kafka Engineer to join our dynamic team. The ideal candidate will be responsible for the development, User Acceptance Testing (UAT), and production support of our Confluent Kafka-based systems. This role requires deep expertise in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. The engineer will collaborate closely with cross-functional teams to ensure the smooth operation of our data streaming services and provide support across various environments. Key Responsibilities: Development: -Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. -Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications. -Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability. -Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline. -Employ KSQLDB for stream processing tasks, including real-time analytics and transformations. -Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems. -Ensure all Kafka-based solutions are scalable, secure, and optimized for performance. User Acceptance Testing (UAT): -Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production. -Work closely with QA teams to identify and resolve defects during the UAT phase. -Ensure all UAT activities comply with the organization’s standards and best practices. -Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes. Production Support: -Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services. -Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect. -Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components. -Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility. -Provide 24/7 support for production systems, including participation in on-call rotation. RequirementsQualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: -3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. -Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development. -Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting. -Familiarity with distributed systems, microservices architecture, and event-driven design patterns. -Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus. Technical Skills: -Proficiency in programming languages such as Java, Python, or Scala. -Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets. -Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack). -Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters. -Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications. -Experience with KSQLDB for real-time processing and analytics on Kafka topics. -Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks. -Understanding of networking, security, and compliance aspects related to Kafka. -Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI). Soft Skills: -Strong analytical and problem-solving abilities. -Excellent communication and teamwork skills. -Ability to work independently and manage multiple tasks effectively. -A proactive approach to learning new technologies and improving existing processes. </div>

Full Time 0 to 0 years

Junior Research Scientist

On-site - UAE - Abu Dhabi Emirate 9 July 2026

Education & Training

The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Junior Research Scientist to support a multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates. Working alongside researchers from NYUAD and Emirates Nature–WWF, the successful candidate will contribute to marine habitat mapping, spatial analysis, and environmental data integration to support fisheries management and marine conservation. The Junior Research Scientist will support the acquisition, processing, and analysis of marine spatial and environmental datasets collected throughout the project. Working within a multidisciplinary team, the successful candidate will assist in developing habitat maps, managing spatial databases, integrating environmental monitoring data, and producing analytical outputs that inform conservation planning and fisheries management. The role combines office-based spatial analysis with opportunities to participate in field surveys, environmental monitoring, and marine habitat assessments across the UAE. The successful candidate will assist with processing GIS, bathymetric, habitat, and environmental datasets, maintaining project databases, and supporting the development of habitat maps and spatial products. Responsibilities include assisting with side-scan sonar and underwater imagery processing, data quality assurance, statistical analyses, and preparation of maps, figures, reports, and scientific publications. The Junior Research Scientist will also participate in field campaigns to collect environmental and spatial reference data and contribute to project reporting and stakeholder deliverables. Applicants must hold a Bachelor's or Master's degree in Marine Science, Geography, GIS, Oceanography, Environmental Science, Spatial Ecology, or a closely related discipline. Master’s degree and less than 5 years of research experience in the relevant field, or a Bachelor's degree with any level of experience. The ideal candidate will have experience using GIS software such as Arc GIS or QGIS, managing scientific datasets, and conducting quantitative analyses using software such as R or Python. Experience with marine habitat mapping, environmental monitoring data, side-scan sonar, or remote sensing is desirable. Candidates should possess strong analytical and organizational skills and be comfortable working both independently and collaboratively within a multidisciplinary research team. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references letters will be requested from shortlisted candidates. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@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 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

Full Time 0 to 0 years

Post-Doctoral Associate

On-site - UAE - Abu Dhabi Emirate 9 July 2026

Education & Training

The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS) at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate to join an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat mapping, and environmental data integration components of a major applied research initiative that will directly inform fisheries management, marine conservation, and habitat restoration across the UAE. The successful candidate will lead the spatial ecology and habitat mapping components of the project by integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators, habitat suitability assessments, and spatial decision-support products. The Post-Doctoral Associate will collaborate closely with project staff to design field campaigns, develop sampling strategies, participate in marine field surveys, and ensure the effective integration of environmental, biological, and spatial datasets. The successful candidate will establish robust data management and quality assurance workflows while preparing scientific manuscripts, technical reports, maps, visualizations, and presentations for project partners and government stakeholders. Additional responsibilities include engaging with Emirates Nature–WWF, government agencies, and other stakeholders to communicate research findings and support the translation of science into management and policy outcomes. The successful candidate will also contribute to the broader research activities of Mubadala ACCESS through mentoring junior researchers and students, participating in proposal development, and contributing to peer-reviewed publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post receipt of PhD. The ideal candidate will have demonstrated experience conducting independent marine spatial analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable. Candidates should have experience integrating biological, environmental, and spatial datasets and possess excellent written and verbal communication skills with a strong publication record in marine ecology, habitat mapping, fisheries ecology, or environmental science. Experience conducting marine field surveys, including SCUBA certification, and familiarity with environmental monitoring equipment such as CTDs, multiparameter sondes, or environmental sensor networks are required. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, and a research statement, all in PDF format. Two contact references letters will be requested from shortlisted candidates. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to Kelly Bradham email: kelly.bradham@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 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

0 to 0 years Bayt

Intern

On-site - UAE 8 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Market Advanced Manufacturing At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact Overview:  The intern will support application development and Power BI dashboard delivery across internal business needs.  Key responsibilities will include:  <ul><li>developing and testing applications or workflow tools, building and maintaining Power BI dashboards, </li><li>preparing and validating datasets, documenting solutions, and supporting automation or AI/ML-enabled use cases where relevant. The role will involve working closely with team to turn data and process requirements into practical digital solutions.</li></ul> Here's what you'll need Requirements:  <ul><li>Computer Science graduate or final-year student, or equivalent degree in Software Engineering, Data Science, Information Systems, or related technology discipline</li><li>Hands-on exposure to real business application development, Power BI dashboards, automation, and AI/ML-enabled use cases. The role offers the chance to work with experienced professionals, develop both technical and business skills, contribute to meaningful digital solutions, and potentially be considered for a full-time role based on performance and business need.</li><li>Growth for the successful candidate would mean progressing from task-based technical support to independently owning small application or dashboard workstreams.</li><li>A successful internship may also create an opportunity for the candidate to be considered for a full-time role, subject to business need, performance, and availability of suitable opportunities. </li><li>Relevant experience includes application development using tools or languages such as React, Python, JavaScript. Experience with Power BI, DAX, Power Query, SQL, Excel, data modelling, APIs, and basic database concepts would be beneficial. Exposure to AI/ML concepts, automation, data analytics, Git/version control, and cloud platforms such as Azure would be an advantage.</li></ul> From our inclusive employee networks to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed. With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company. We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. Onsite employees are expected to attend a Jacobs Workplace on a full-time basis, as required by the nature of their role. Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support. Locations CityStateCountry Bur DubaiAll AE RegionsUnited Arab Emirates </div>

0 to 0 years Bayt

Senior AI Engineer

On-site - UAE 3 July 2026

Information Technology

<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. As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking. You will act as a technical pillar within the AI squad—collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges. Key ResponsibilitiesGenerative & Agentic AI Engineering Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution. Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies. Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior. Deep Learning & Model Optimization Core Modeling & Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains. Open-Source & Cloud Integration: Evaluate and deploy both proprietary cloud models (e. g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost. Edge & Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX. Data & MLOps Infrastructure Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data. Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores. Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production. 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 science 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. We need you to have: A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments. Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV). Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models. AI, Modeling & Frameworks Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models. Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks. A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime. High proficiency in configuring and querying Vector Databases (e. g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures. Software Engineering & Core Tools Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture. Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e. g., Pandas, NumPy, Polars, or PySpark) It would also be great if you had: An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field. Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e. g., familiarity with data privacy, compliance, and secure financial data models). Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction. </div>

0 to 0 years Bayt

Intern

On-site - UAE 1 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company:MarshDescription:Marsh is the world’s leading insurance broker and risk advisor. We protect and promote possibility—helping clients dream bigger, reach further, and plan for the opportunities ahead. We bring solutions that help our clients manage risk, grow, and succeed. The OpportunityMarsh is seeking aSummer Intern (AI, Data Science)to join a fast-paced, innovation-focused team working on real business challenges across a global organization. This internship offers hands-on exposure to AI products and practical data science initiatives, with opportunities to build prototypes, support pilots, and help enable colleagues through training and materials. What You Can Expect<ul><li>Hands-on involvement in enhancing and transforming processes and business operations within thelargest insurance broker in the world.</li><li>An open work culture with a strong emphasis oninnovation, collaboration, and solving business problems.</li><li>Exposure to international businesses and collaboration with colleagues across geographies.</li><li>An energetic, entrepreneurial team environment with experience acrossdata science, visualization, and descriptive analytics.</li></ul>Key Responsibilities (What We Will Count on You For)<ul><li>Demonstrate strongproblem-solvingcapability by understanding business requirements and exploring multiple solution approaches to deliver the desired outcome.</li><li>Gain expertise inMarsh AI productsand support adoption by:<ul><li>Delivering trainings to colleagues</li><li>Customizing tools and workflows usingLLM-based solutionswhere applicable</li></ul></li><li>Developprototypes, proof-of-concepts, and pilot programsfor high-priority opportunities.</li><li>Develop and deliver engagingshort training sessionson AI fundamentals tailored to different audiences.</li><li>Create accessible training materials, includingpresentations, videos, guides, and reference documents.</li><li>Provide regular reporting onproject status, deliverables, and stakeholder communications.</li><li>Supportpilot implementationsof selected AI solutions, monitoring progress and gathering feedback.</li><li>Participate in problem-solving sessions to help remove obstacles and address challenges as they arise.</li><li>Maintain a high level ofattention to detailin deliverables and documentation.</li></ul>What You Need to Have (Required)<ul><li>Familiarity withAI / machine learning concepts and applications.</li><li>Basic data analysis experience and comfort working withExcel (or similar analytical tools).</li><li>Experience withbusiness intelligence and/or data visualization tools.</li><li>Intermediate capability in building tools inPython, leveraging available AI models where appropriate.</li><li>Proficiency inMS Office(Excel, PowerPoint, Word).</li><li>Strong communication skills; an outgoing, collaborative personality with a willingness to learn and contribute.</li></ul>Preferred Qualifications<ul><li>Currently enrolled in or recently completed anundergraduate or graduate/master’s degreein:<ul><li>Computer Science, Business, Engineering, Data Science, Information Systems, Business Analytics, or a related field.</li></ul></li></ul>Why MarshYou’ll gain practical experience applying AI and data science to real business challenges, work alongside knowledgeable colleagues across regions, and build skills in solution development, stakeholder collaboration, and enablement through training—while contributing to meaningful innovation initiatives. Interested?Apply now to be considered for the Summer Intern (AI, Data Science) role at Marsh. Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. </div>

Full Time 0 to 0 years

AI Architect

On-site - UAE - Dubai 16 June 2026

Information Technology

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6â€“8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role) About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions. Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling. Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow. Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices. MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost. AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions. Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers. Required Skills & Qualifications Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights Experience & Educational Requirements Education:Bachelorâ€™s or Masterâ€™s degree in Computer Science, AI, Data Science, Engineering, or a related technical field. Minimum Experience Requirements:10â€“12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Full Time 0 to 0 years

AI Architect

On-site - UAE - Dubai 16 June 2026

Information Technology

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6â€“8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role) About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions. Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling. Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow. Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices. MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost. AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions. Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers. Required Skills & Qualifications Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights Experience & Educational Requirements Education:Bachelorâ€™s or Masterâ€™s degree in Computer Science, AI, Data Science, Engineering, or a related technical field. Minimum Experience Requirements:10â€“12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Full Time 0 to 0 years

AI Architect

On-site - UAE - Dubai 16 June 2026

Information Technology

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6â€“8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role) About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions. Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling. Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow. Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices. MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost. AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions. Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers. Required Skills & Qualifications Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights Experience & Educational Requirements Education:Bachelorâ€™s or Masterâ€™s degree in Computer Science, AI, Data Science, Engineering, or a related technical field. Minimum Experience Requirements:10â€“12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Bayt

Solutions Architect

On-site - UAE 7 August 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company:Qualcomm Engineering FZ LLC Job Area:Engineering Group, Engineering Group > Software Engineering General Summary: Role Overview We are seeking a highly experienced and entrepreneurial Solutions Architect to drive the adoption of next-generation AI-powered solutions across the Middle East. This role sits at the intersection of Customer Engineering, Solution Architecture, Edge AI, Cloud AI, and Industry Transformation. The successful candidate will work closely with customers, partners, and internal engineering teams to design, architect, and deploy end-to-end intelligent systems spanning edge devices, IoT platforms, cloud infrastructure, AI/ML workloads, robotics, drones, and smart city applications. This is a unique opportunity to shape the future of AI, 6G, edge computing, and connected ecosystems while working on large-scale transformational projects. Key Responsibilities will include End-to-End Solution Architecture <ul><li>Design and architect end-to-end AI and digital transformation solutions from edge devices to cloud platforms. </li></ul> <ul><li>Translate customer requirements into scalable technical architectures and deployment strategies. </li></ul> <ul><li>Drive architecture decisions across hardware, software, connectivity, AI models, cloud services, and system integration. </li></ul> AI & Edge Computing <ul><li>Enable deployment and optimization of AI/ML workloads across Edge and Cloud environments. </li></ul> <ul><li>Understand trade-offs involving latency, power consumption, model accuracy, memory constraints, and system performance. </li></ul> <ul><li>Guide customers on AI model deployment, optimization, quantization, inference acceleration, and system scaling. </li></ul> Customer Engagement & Technical Leadership <ul><li>Serve as a trusted technical advisor throughout the customer journey, from discovery and PoC to deployment and production scaling. </li></ul> <ul><li>Collaborate with key stakeholders to define solution roadmaps and success metrics. </li></ul> <ul><li>Lead technical workshops, architecture reviews, and executive-level discussions. </li></ul> Platform & Cloud Architecture <ul><li>Architect scalable cloud-native and hybrid solutions supporting millions of connected devices. </li></ul> <ul><li>Design data pipelines, data lakes, analytics platforms, and AI-enabled backend services. </li></ul> <ul><li>Develop architectures supporting high availability, security, multi-tenancy, and enterprise-grade scalability. </li></ul> Preferred Qualifications Technical Expertise <ul><li>Strong experience in:  </li></ul> <ul><li>Solution Architecture </li></ul> <ul><li>AI/ML Systems </li></ul> <ul><li>Edge Computing </li></ul> <ul><li>Cloud Platforms (AWS, Azure, GCP) </li></ul> <ul><li>IoT Platforms </li></ul> <ul><li>Distributed Systems </li></ul> <ul><li>Data Engineering </li></ul> <ul><li>Software Architecture </li></ul> Desired Background <ul><li>Experience building and deploying end-to-end intelligent systems spanning Edge, Cloud, and AI. </li></ul> <ul><li>Demonstrated expertise in customer-facing technical roles such as:  </li></ul> <ul><li>Solutions Architect </li></ul> <ul><li>Field Applications Engineer </li></ul> <ul><li>Customer Engineer </li></ul> <ul><li>Technical Consultant </li></ul> <ul><li>AI Platform Architect </li></ul> What Will Make You Stand Out <ul><li>Experience with drones, robotics, smart cities, industrial IoT, or large-scale AI transformation initiatives. </li></ul> <ul><li>Strong entrepreneurial mindset with a proven ability to build new solutions and influence technical strategy. </li></ul> <ul><li>Ability to connect technology capabilities with real-world business outcomes. </li></ul> <ul><li>Arabic language skills are advantageous but not mandatory. </li></ul> Ideal Candidate Profile We're looking for a builder, innovator, and problem-solver who can bridge business needs and advanced technology. The ideal candidate combines deep technical expertise with customer engagement skills and can architect solutions across the complete stack, from edge devices and AI models to cloud platforms and enterprise-scale deployments. Why Join Qualcomm At Qualcomm, you’ll work at the intersection of AI silicon, system architecture, and real‑world deployment. You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both technology direction and customer outcomes, while working with world‑class engineering and product teams. What's on Offer Apart from working with great people, we offer the below: <ul><li>Salary including housing & transport allowance </li><li>Stock (RSU's) and performance related bonus </li><li>16 weeks fully paid Maternity Leave </li><li>6 weeks fully paid Paternity Leave </li><li>Employee stock purchase scheme </li><li>Child Education Allowance </li><li>Relocation and immigration support (if needed) </li><li>Life and Medical Insurance </li><li>Live+ Well Reimbursement for health and recreational membership fees </li></ul> Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. </div>

Bayt

Forward Deployed AI Engineer

On-site - UAE 5 August 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of senior engineers and technical leads. This is a role for someone early in their AI engineering career who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers. In this role, you will: <ul> <li> Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components. </li> </ul> <ul> <li> Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs. </li> </ul> <ul> <li> Implement features, components, and integrations under the guidance of senior engineers, maintaining code quality and adherence to engineering standards. </li> </ul> <ul> <li> Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements. </li> </ul> <ul> <li> Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge. </li> </ul> <ul> <li> Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability. </li> </ul> <ul> <li> Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing. </li> </ul> <ul> <li> Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality. </li> </ul> What you bring: <ul> <li> Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment. </li> </ul> <ul> <li> Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services. </li> </ul> <ul> <li> Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts. </li> </ul> <ul> <li> Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability. </li> </ul> <ul> <li> Curiosity, adaptability, and a growth mindset — you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment. </li> </ul> <ul> <li> Basic understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines. </li> </ul> <ul> <li> Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings. </li> </ul> <ul> <li> An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus. </li> </ul> Where you belong: You will be part of a growing AI and industry expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 457240  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid </div>

Bayt

Senior Data Engineer

On-site - UAE 31 July 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purposednata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering & retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world’s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we’d love to have you onboard. The Senior Data Engineer is a fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space. The role involves the design, development, testing, implementation, support and maintenance of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses. In this role, you will: <ul><li>Lead technical design and build for small to medium sized solutions in a team. Translate functional and non-functional data and analytics requirements into fit for purpose technical design. Ensure solution performance, business edge cases and security related issues are addressed while developing software.</li></ul><ul><li>Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.</li><li>Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles. Conduct code review for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.</li><li>Operate with a data-driven mindset. Help translate data and analytics requirements into data solutions based on the approved technical designs. Assist with data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business needs.</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.</li><li>Work with senior and lead data engineers in the technical design process by contributing in the analysis of data application, data integration, large data storage or data pipeline requirements.</li><li>Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.</li><li>Carry out unit testing independently. Troubleshoot issues, and fix defects that are of moderate to high complexity.</li><li>Shadow senior and lead data engineers on design and architecture components, and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.</li><li>Adhere to published coding standards, guidelines and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.</li></ul>QualificationTo be considered for this role, you must meet the below requirements: <ul><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.</li><li>Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have</li><li>Experience 2+ years Data Engineering (Fewer years experience will be considered for Masters degree holders)</li><li>Minimum 2+ years of development, testing and support experience in the analytic applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure)</li><li>Experience with batch or real-time data ingestion; experience with coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion</li><li>Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling nice-to-have</li><li>Understanding on integration with source systems; able to load operational systems data into a single data platform using data integration tools</li><li>Experience scheduling jobs that can be monitored efficiently and ensure data quality</li><li>Ability to conduct unit testing</li><li>Strong SQL querying skills required</li><li>Airline industry experience a nice-to-have</li></ul> <ul><li>Knowledge and Skills:<ul><li>Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred</li><li>Operates with a You Code It, You Own It mindset (i.e. supports the products they build)</li><li>Demonstrated problem-solver; able to design and document solutions independently</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues</li><li>Able to deliver solutions (and associated value) interatively</li><li>Is accountable and displays positive attitude</li><li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space</li></ul></li><li>Technology Domain Key Technologies/Tools<ul><li>Big Data : Hadoop, Spark, Scala, Hive, H-Base, Sqoop, Oozie, Apache Nifi, Airflow, HDFS, ADLS (Gen 2), Azure Data Factory (ADF), DataBricks, Kafka, Elasticsearch, AVRO / PARQUET file formats</li><li>Data Analysis, Modelling and Reporting :Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI</li><li>Cloud Technologies : Microsoft Azure and Cloudera technology stacks</li><li>Integration and Messaging :Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka,</li><li>CI/CD :GIT Bitbucket, Azure DevOps, Jenkins, JIRA, Confluence</li><li>Automation : Java, Selenium, AppDynamics, HP Load Runner, Jmeter, Python, Automation Anywhere</li></ul></li></ul>Our services on the ground keep the world in the air. We’re one of the largest air services providers in the world, and you’ll find us in over 80 countries offering expertise in ground handling, cargo, travel and flight catering. We’re growing fast, and we’re looking for people with imagination and creativity to join our team of more than 40,000 people. We want potential stars to help us deliver on the promises our customers make. 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 hotel stays worldwide. Discover what it’s like to live and work in our fast-paced, cosmopolitan home city by visiting the Dubai Lifestyle section on our career’s website: www.emirates.com/careers. </div>

Bayt

Senior Data Scientist

On-site - UAE 8 August 2026

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll build In this role, you will design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams, you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers, engineers, and product teams, you will build production-ready machine learning and Generative AI solutions while continuously improving model quality, performance, and business impact. In this role, you will: <ul> <li> Transform business challenges into data-driven solutions by identifying analytical opportunities, exploring data, engineering features, and developing predictive models. </li> </ul> <ul> <li> Design, develop, train, evaluate, and optimize machine learning models and statistical solutions for enterprise business scenarios. </li> </ul> <ul> <li> Apply techniques across exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics. </li> </ul> <ul> <li> Develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and Agentic AI frameworks. </li> </ul> <ul> <li> Integrate analytical and AI solutions into enterprise applications and business processes, ensuring scalability, robustness, and production readiness. </li> </ul> <ul> <li> Define evaluation metrics, validate model performance, monitor deployed models, and continuously improve solution accuracy and reliability. </li> </ul> <ul> <li> Work closely with customer teams to understand business processes, data landscapes, and operational challenges to co-create impactful AI solutions. </li> </ul> <ul> <li> Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver end-to-end AI products. </li> </ul> <ul> <li> Communicate analytical findings, technical trade-offs, and solution recommendations clearly to engineering teams and customer stakeholders. </li> </ul> <ul> <li> Stay current with the latest advancements in Data Science, Machine Learning, Generative AI, and Agentic AI, applying emerging techniques where appropriate. </li> </ul> What you bring <ul> <li> Strong hands-on expertise in Data Science, Machine Learning, and Applied AI with excellent proficiency in Python and SQL. </li> </ul> <ul> <li> Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies. </li> </ul> <ul> <li> Strong understanding of statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering. </li> </ul> <ul> <li> Experience developing predictive models, recommendation systems, forecasting models, anomaly detection, and classification algorithms. </li> </ul> <ul> <li> Hands-on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI orchestration frameworks such as LangGraph, LangChain, CrewAI, or AutoGen. </li> </ul> <ul> <li> Experience deploying machine learning and AI solutions using cloud-native platforms and modern MLOps practices. </li> </ul> <ul> <li> Familiarity with SAP data landscapes including SAP S/4HANA, SAP HANA Cloud, SAP BW/4HANA, SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services is an advantage. </li> </ul> <ul> <li> Ability to translate ambiguous business requirements into practical analytical solutions while balancing model accuracy, interpretability, scalability, and business value. </li> </ul> <ul> <li> Strong communication, collaboration, and problem-solving skills with the ability to work effectively in customer-facing environments. </li> </ul> <ul> <li> You proactively leverage AI in your everyday workflows, ensuring high-quality outcomes through thoughtful context design, experimentation, and system integration. </li> </ul> Where you belong You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We bring together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate and lead in their markets. You’ll collaborate with cross-functional teams to solve challenging business problems, build enterprise-grade AI solutions, and deliver measurable customer value. This is a place for curious builders who enjoy learning, experimenting, and applying AI to real-world business challenges. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 457241  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid </div>

Bayt

IT Engineering Manager

On-site - UAE 7 August 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description A little bit about talabat talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat’s success expanded to the rest of the GCC region, Egypt & Jordan, making it the largest and most popular food ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands of orders every day.We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and operations in 40+ countries. Job Description About the Role We are hiring a hands-on IT Engineering Manager to own the Enterprise Applications domain — the devices, collaboration tools, and identity/access that talabat employees rely on every day — and to lead the small engineering team behind it, coordinating across our markets. This is a working manager role: roughly 70–80% technical execution and standard-setting, and 20–30% people and delivery leadership. You will operate with a high degree of autonomy, staying close to the work while building the automation, documentation, and standards that let the function scale consistently across markets. It is a build role — you set the technical bar by doing, then make that excellence repeatable so it outlives any one person. Your domain sits alongside other IT engineering domains, and your success depends as much on clean collaboration across those boundaries as on the depth of your own work. You will define and defend clear ownership of your systems while partnering openly with adjacent teams who depend on them. You will cultivate strong vendor relationships and drive strategic partnerships that enhance application functionality and support — a single quote is a starting point, not a decision. Scope boundary: This role owns corporate and employee-facing IT (the digital workplace), including identity and endpoint end-to-end, which adjacent IT teams consume. It does not own product, ordering, or operational (rider/vendor-facing) systems, which sit with separate engineering functions. Where core platforms are provided centrally by Delivery Hero, this role owns the local instances and acts as talabat's engineering interface to those central teams. What You'll Own Endpoint & Device Management Own endpoint fleet strategy across macOS and Windows — MDM (Jamf, Intune, Jump Cloud), security baselines, patching, encryption, inventory, and the full device lifecycle from procurement and provisioning through to offboarding and asset recovery. Maintain endpoint posture in partnership with Security. SaaS Administration Own day-to-day administration of the core SaaS stack — Google Workspace, Slack, Atlassian, and similar — including configuration, license management, integrations, cost optimization, and strategic licensing negotiations with vendors. Evaluate and onboard new business tools, retire redundant ones, and operate the local instances of centrally provided platforms. Drive Power User Community deployment and management across entities where applicable. Identity & Access Administer SSO, MFA, and identity providers (Okta, Entra, Google or similar), operating local instances and interfacing with the central identity platform. Own the Joiner-Mover-Leaver lifecycle — provisioning, deprovisioning, role-based access, least-privilege, and periodic access reviews — automated wherever possible. Automation & AI (a core expectation, not a future investment) Engineer away repetitive work: if a task is done the same way more than twice, automate it. Scripting (Python, Bash, PowerShell) and AI tooling are current expectations of this role. Use automation and AI to create team capacity without growing headcount, and lead the team's adoption of these tools. Incident Response & Reliability Own incident response and the on-call rotation for your domain. Act as escalation point during peak and out-of-hours periods, run proactive incident communication, and drive root-cause resolution rather than recurring workarounds. Participate in cross-domain incident coordination where issues span into adjacent IT teams. Build reliability and security in by design — every system has a clear answer to "what happens when this fails?" Service, Compliance & Standards Define and track IT service standards, SLAs, and operational metrics, and run ticketing/ITSM workflows that reduce friction for employees. Ensure a consistent support model across locations and time zones, adhering to agreed service levels. Champion change management practices to ensure seamless application delivery and effective transitions. Contribute to compliance and audit readiness (e.g. SOC 2 / ISO 27001 IT controls, access reviews, evidence) in partnership with Security and central teams. Standardize before scaling — build solutions that work across all markets on a shared foundation, allowing local flavor without fragmenting the stack. Leadership, People & Vendors Lead, coach, and raise the technical bar of a small IT engineering team, with a mandate to grow both its capability and its headcount. Set the standard hands-on, develop your engineers, and manage performance fairly and decisively — investing genuinely in growth, and making the hard call when the bar cannot be met. Provide mentorship to team members, promote knowledge sharing and professional growth. Create and maintain runbooks, training materials, and self-service resources so knowledge is never trapped in one person's head. Manage vendors, procurement, and renewals — actively challenge cost and drive strategic partnerships rather than transactional relationships. Qualifications What You'll Bring <ul><li>5–7+ years in IT operations, IT engineering, or corporate IT, with hands-on depth across endpoint, SaaS, and identity — including organisations with 5,000+ users. </li><li>Hands-on expertise with MDM (Jamf / Intune / jumpcloud), identity providers (Okta / Entra), and SaaS administration (Google Workspace, Slack, Atlassian). </li><li>Demonstrated scripting and automation ability, and daily use of AI tooling in real work — with concrete examples of what you have built or adopted. </li><li>Proven expertise in business process analysis, requirements gathering, solution design, and vendor management — including cost-effective licensing negotiation. </li><li>A track record of leading or mentoring a small team and raising its operating standard. People-leadership appetite is required; formal management experience is welcome. </li><li>Strong project management skills, with a track record of delivering complex projects on time and within budget across multiple concurrent workstreams. </li><li>Proven ability to operate autonomously with limited managerial oversight — self-directed on priorities, delivery, and standard-setting. </li><li>A track record of defining and defending clear domain ownership while collaborating openly with adjacent teams. </li><li>A strong customer-focus mindset toward employees — you treat how IT feels to use as the measure of success, speak in plain language, and never say no to the person without offering an alternative. </li><li>Exceptional communication and interpersonal skills, with the ability to build strong relationships and influence without authority across teams and senior stakeholders. </li><li>A documentation-first working style and comfort operating where a central platform team owns core systems and you own the local layer and the interface. </li><li>Deep understanding of enterprise application security best practices. </li></ul> </div>

Bayt

IT Engineering Manager

On-site - UAE 7 August 2026

Engineering

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the opportunity About the Role We are hiring a hands-on IT Engineering Manager to own the Enterprise Applications domain — the devices, collaboration tools, and identity/access that talabat employees rely on every day — and to lead the small engineering team behind it, coordinating across our markets. This is a working manager role: roughly 70–80% technical execution and standard-setting, and 20–30% people and delivery leadership. You will operate with a high degree of autonomy, staying close to the work while building the automation, documentation, and standards that let the function scale consistently across markets. It is a build role — you set the technical bar by doing, then make that excellence repeatable so it outlives any one person. Your domain sits alongside other IT engineering domains, and your success depends as much on clean collaboration across those boundaries as on the depth of your own work. You will define and defend clear ownership of your systems while partnering openly with adjacent teams who depend on them. You will cultivate strong vendor relationships and drive strategic partnerships that enhance application functionality and support — a single quote is a starting point, not a decision. Scope boundary: This role owns corporate and employee-facing IT (the digital workplace), including identity and endpoint end-to-end, which adjacent IT teams consume. It does not own product, ordering, or operational (rider/vendor-facing) systems, which sit with separate engineering functions. Where core platforms are provided centrally by Delivery Hero, this role owns the local instances and acts as talabat's engineering interface to those central teams. What You'll Own Endpoint & Device Management Own endpoint fleet strategy across macOS and Windows — MDM (Jamf, Intune, Jump Cloud), security baselines, patching, encryption, inventory, and the full device lifecycle from procurement and provisioning through to offboarding and asset recovery. Maintain endpoint posture in partnership with Security. SaaS Administration Own day-to-day administration of the core SaaS stack — Google Workspace, Slack, Atlassian, and similar — including configuration, license management, integrations, cost optimization, and strategic licensing negotiations with vendors. Evaluate and onboard new business tools, retire redundant ones, and operate the local instances of centrally provided platforms. Drive Power User Community deployment and management across entities where applicable. Identity & Access Administer SSO, MFA, and identity providers (Okta, Entra, Google or similar), operating local instances and interfacing with the central identity platform. Own the Joiner-Mover-Leaver lifecycle — provisioning, deprovisioning, role-based access, least-privilege, and periodic access reviews — automated wherever possible. Automation & AI (a core expectation, not a future investment) Engineer away repetitive work: if a task is done the same way more than twice, automate it. Scripting (Python, Bash, PowerShell) and AI tooling are current expectations of this role. Use automation and AI to create team capacity without growing headcount, and lead the team's adoption of these tools. Incident Response & Reliability Own incident response and the on-call rotation for your domain. Act as escalation point during peak and out-of-hours periods, run proactive incident communication, and drive root-cause resolution rather than recurring workarounds. Participate in cross-domain incident coordination where issues span into adjacent IT teams. Build reliability and security in by design — every system has a clear answer to "what happens when this fails?" Service, Compliance & Standards Define and track IT service standards, SLAs, and operational metrics, and run ticketing/ITSM workflows that reduce friction for employees. Ensure a consistent support model across locations and time zones, adhering to agreed service levels. Champion change management practices to ensure seamless application delivery and effective transitions. Contribute to compliance and audit readiness (e.g. SOC 2 / ISO 27001 IT controls, access reviews, evidence) in partnership with Security and central teams. Standardize before scaling — build solutions that work across all markets on a shared foundation, allowing local flavor without fragmenting the stack. Leadership, People & Vendors Lead, coach, and raise the technical bar of a small IT engineering team, with a mandate to grow both its capability and its headcount. Set the standard hands-on, develop your engineers, and manage performance fairly and decisively — investing genuinely in growth, and making the hard call when the bar cannot be met. Provide mentorship to team members, promote knowledge sharing and professional growth. Create and maintain runbooks, training materials, and self-service resources so knowledge is never trapped in one person's head. Manage vendors, procurement, and renewals — actively challenge cost and drive strategic partnerships rather than transactional relationships. What you need to be successful What You'll Bring <ul><li>5–7+ years in IT operations, IT engineering, or corporate IT, with hands-on depth across endpoint, SaaS, and identity — including organisations with 5,000+ users. </li><li>Hands-on expertise with MDM (Jamf / Intune / jumpcloud), identity providers (Okta / Entra), and SaaS administration (Google Workspace, Slack, Atlassian). </li><li>Demonstrated scripting and automation ability, and daily use of AI tooling in real work — with concrete examples of what you have built or adopted. </li><li>Proven expertise in business process analysis, requirements gathering, solution design, and vendor management — including cost-effective licensing negotiation. </li><li>A track record of leading or mentoring a small team and raising its operating standard. People-leadership appetite is required; formal management experience is welcome. </li><li>Strong project management skills, with a track record of delivering complex projects on time and within budget across multiple concurrent workstreams. </li><li>Proven ability to operate autonomously with limited managerial oversight — self-directed on priorities, delivery, and standard-setting. </li><li>A track record of defining and defending clear domain ownership while collaborating openly with adjacent teams. </li><li>A strong customer-focus mindset toward employees — you treat how IT feels to use as the measure of success, speak in plain language, and never say no to the person without offering an alternative. </li><li>Exceptional communication and interpersonal skills, with the ability to build strong relationships and influence without authority across teams and senior stakeholders. </li><li>A documentation-first working style and comfort operating where a central platform team owns core systems and you own the local layer and the interface. </li><li>Deep understanding of enterprise application security best practices. </li></ul> Who we are A little bit about talabat talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat’s success expanded to the rest of the GCC region, Egypt & Jordan, making it the largest and most popular food ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands of orders every day.We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and operations in 40+ countries. </div>

Bayt

Forward Deployed Application/ML Engineering Expert

On-site - UAE 5 August 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You translate ambiguous business and operational requirements into secure, scalable, and reliable solutions — owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope and apply modern AI-assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption. In this role, you will: <ul> <li> Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows. </li> </ul> <ul> <li> Embed directly into customer projects and fast-moving cross-functional teams to rapidly understand business processes, technical landscapes, and operational challenges. </li> </ul> <ul> <li> Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability. </li> </ul> <ul> <li> Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to real-world enterprise constraints. </li> </ul> <ul> <li> Own application delivery end-to-end — from problem framing and prototyping through deployment, observability, and production operations. </li> </ul> <ul> <li> Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions. </li> </ul> <ul> <li> Ensure delivery milestones, quality standards, and technical objectives are met, proactively managing risks and technical escalations within scope. </li> </ul> <ul> <li> Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress. </li> </ul> <ul> <li> Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions. </li> </ul> What you bring: <ul> <li> Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability. </li> </ul> <ul> <li> Proven ability to design and deliver AI-native applications, utilizing large language models, RAG architectures, vector databases, and agentic systems to innovate enterprise workflows. </li> </ul> <ul> <li> Strong proficiency in widely used AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices. </li> </ul> <ul> <li> Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations. </li> </ul> <ul> <li> Strong problem-solving skills, critical thinking, and exposure to design thinking practices; proven ability to mentor teams and establish development guardrails and best practices. </li> </ul> <ul> <li> Proven ability to mentor and inspire teams, establish best development guardrails and practices, and drive engineering culture across delivery teams. </li> </ul> <ul> <li> Exposure to SAP AI technologies such as SAP AI Core, Vectorization, Joule Studio, RPT-1, and Business Data Cloud is a strong advantage. </li> </ul> <ul> <li> Experience owning solutions across the full application lifecycle — from design and implementation to deployment and production operations. </li> </ul> <ul> <li> Strong collaboration and communication skills to work effectively with cross-functional teams and customer stakeholders on complex technical topics. </li> </ul> <ul> <li> Learning mindset, technical leadership, and accountability in high-impact, ambiguous environments; you proactively leverage AI in everyday workflows to ensure high-quality outputs. </li> </ul> Where you belong: You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on turning complex business challenges into practical, scalable solutions. We value curiosity, ownership, and continuous learning — and encourage new ideas where real-world impact matters. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 457076  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid </div>

Bayt

Senior Software Development Engineer 3

On-site - UAE 4 August 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary: We are building one of the region's most ambitious e-commerce platforms: high-traffic, multi-region, and engineered for scale. As a Backend Engineer, you will own critical systems that millions of customers depend on every day, from product discovery through to delivery. Key Responsibilities: <ul> <li><ul><li>Design and build Identity Services including authentication, authorization, session management, and SSO integrations using OAuth 2.0 and JWT</li><li>Develop and maintain account management APIs covering profile updates, preferences, address book, and communication settings</li><li>Build real-time order tracking services that aggregate status updates from warehouse, transport, and delivery systems into a unified customer view</li><li>Architect the refunds platform handling return eligibility, refund calculations, payment reversals, and wallet credits across multiple payment methods</li><li>Implement secure, performant APIs that protect customer PII while enabling personalized experiences</li><li>Drive cross-team coordination to ensure order lifecycle events flow seamlessly from checkout through delivery to post-order support</li><li>Maintain strong observability with structured logging, customer journey tracing, and alerting on degraded experiences</li><li>Own and deliver multi-quarter, multi-team product or platform goals, defining technical solutions that level up the entire team</li><li>Make independent technical decisions in the face of open-ended requirements, with a deep understanding of business context and customer needs</li><li>Drive cross-team or cross-discipline initiatives, optimizing beyond your immediate team for broader organizational impact</li><li>Design the software and systems in your area of ownership, ensuring they meet their design objectives and align with longer-term business needs</li><li>Handle complex software modules that are logically dense — whether from business, idempotence, robustness, or scalability requirements</li><li>Simplify code and infrastructure, prioritizing tasks that measurably reduce maintenance and migration costs</li><li>Preemptively identify and resolve technical risks before they jeopardize projects; resolve cross-team dependencies early</li><li>Debug and reproduce non-deterministic bugs and system issues that would normally escape less experienced engineers</li><li>Champion an AI-first engineering culture — actively adopt and advocate for AI tools and assistants to maximize productivity, accelerate delivery, and multiply your team's impact</li><li>Define the technical roadmap for complex projects, provide leadership for those executing on it, and generate excitement for the team's strategy</li><li>Set and hold the bar for quality and best practices via code and design reviews</li><li>Act as a Culture Leader — partner with your manager to set the cultural tone, foster psychological safety, and champion inclusive practices</li><li>Coach and mentor teammates, offering direct and actionable feedback delivered with empathy to help others grow into the next level</li><li>Represent mission, strategy, and technical challenges to candidates in a compelling way</li></ul></li> </ul> Requirements: <ul> <li><ul><li>Strong proficiency in at least one backend language: Python, Java, or Node.js, with deep understanding of language internals and performance characteristics</li><li>Proven track record of designing, building, and operating microservices architectures at scale in production</li><li>Deep experience with cloud platforms (GCP, AWS, or Azure) including architecture decisions, cost optimization, and multi-region deployments</li><li>Expert-level knowledge of containerization (Docker) and orchestration (Kubernetes) in production environments</li><li>Strong experience with CI/CD pipelines, deployment strategies (blue-green, canary), and automated quality gates</li><li>Advanced database skills: query optimization, sharding strategies, replication, and data modeling for high-throughput systems</li><li>Extensive experience with event-driven architectures and message brokers (Kafka, SQS/SNS, Pub/Sub) at scale</li><li>Deep understanding of caching layers (Redis, Memcached, CDN) and their role in system performance and reliability</li><li>Strong grasp of API security, OAuth 2.0, JWT, API gateway patterns, and WAF configurations</li><li>Domain experience in e-commerce, retail, logistics, supply chain, or similar high-traffic consumer platforms — you understand the business domain, not just the technology</li></ul></li> </ul> </div>

Bayt

Senior Backend Developer

On-site - UAE 28 July 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> An Exhilarating Opportunity Are You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry. Join the FIVE Tribe - and Get Ready to Make Waves. The Candidate A Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter. Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Holdings Team as Senior Backend Developer will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights! What We’re Looking For <ul><li>Bachelor’s degree in computer science, Information Technology, or related field (master’s preferred).</li><li>Minimum of 5-7 years of backend development experience.</li><li>Proficiency in backend technologies such as Node.js, Python, Java, or Ruby on Rails.</li><li>Experience with databases such as MySQL, PostgreSQL, or MongoDB.</li><li>Strong knowledge of API design and development, including RESTful and GraphQL.</li><li>Experience with cloud services such as AWS, Google Cloud, or Azure.</li><li>Expertise in implementing database security and code security to prevent hacking, SQL injection, and other cyber threats.</li><li>Familiarity with security best practices including encryption, authentication, and access control.</li><li>Experience in identifying and mitigating vulnerabilities, and ensuring systems are secure by design.</li><li>Knowledge of version control systems like Git.</li><li>Experience with CI/CD pipelines and automated testing frameworks.</li><li>Ability to work in a fast-paced, agile environment and manage multiple priorities.</li><li>Experience in microservices architecture.</li><li>Familiarity with DevOps practices and tools like Docker, Kubernetes.</li><li>Previous experience in the real estate or hospitality sectors is a plus.</li><li>Knowledge of security best practices and data protection. </li></ul>Key Responsibilities <ul><li>Lead the design, development, and maintenance of robust backend systems and services.</li><li>Manage and mentor a team of 4 developers, providing technical direction, support, and performance feedback.</li><li>Collaborate closely with front-end developers, UX/UI designers, and the Digital Transformation team to deliver high-quality digital solutions.</li><li>Optimize application performance, ensuring responsiveness and scalability of server-side logic.</li><li>Integrate with third-party APIs and develop RESTful services.</li><li>Write clean, scalable, and well-documented code, adhering to best practices and industry standards.</li><li>Conduct code reviews, mentor junior developers, and provide technical guidance to the team.</li><li>Manage and optimize databases, ensuring data security, integrity, and performance.</li><li>Implement database and code security practices to prevent cyber threats such as hacking and SQL injection.</li><li>Identify technical challenges and devise innovative solutions for continuous improvement.</li><li>Participate in the architecture design of digital products and solutions.</li><li>Stay updated with the latest technologies and industry trends, recommending and implementing relevant updates.</li></ul>The Team ‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential. Sustainable Indulgence at FIVE FIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, withFIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community. An Equal Opportunity Employer The FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs’. FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organisations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity. About FIVE Hotels and Resorts FIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage. Find out more here: fivehotelsandresorts.com About FIVE Holdings FIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally). FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023. Find out more here: fiveglobalholdings.com </div>

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>

Python Developer Jobs in UAE

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