Python Developer Jobs in UAE

Pay: Up to 6,000.00 AED per month- Please do not apply if this does not meet your salary requirements. <br>About Feynlab Feynlab is a global innovator in surface protection technology headquartered in Chicago, USA, with operations across multiple international locations. Leveraging cutting-edge nanotechnology, our products serve a range of industries including automotive, industrial, marine, and architectural. Our mission is to deliver technically advanced, results-driven solutions backed by exceptional service, continuous improvement, and long-term partnership success.<br>Role Overview The Junior Web Developer supports the technical development and maintenance of Feynlab's websites and internal web-based tools, working under the direction of the Web Developer & IT Support Lead. This is a hands-on role with real ownership of tasks from day one. The ideal candidate is technically capable, eager to learn, takes initiative, and is comfortable working across multiple functions in a fast-moving international company. This role is part of a small, high-accountability team. The expectation is not just to complete tasks but to understand them, document the work, and flag issues early. Independent thinking and problem-solving are valued as much as technical skill.<br>Key Responsibilities Website Development & Maintenance Build and update web pages, landing pages, web features, and plugins as directed Maintain and improve existing Feynlab websites across all regions Troubleshoot and resolve website bugs, broken links, and performance issues Ensure websites are functional, on-brand, and up to date Test web builds across browsers and devices to ensure compatibility and responsiveness<br>Web Support for Marketing In addition to primary responsibilities, this role assists with technical web support for the marketing team as directed by the Senior Developer. Build and update web pages required by the marketing team including landing pages, product pages, and campaign pages Support implementation of tracking tools and campaign assets as directed Ensure pages built meet performance standards - fast, responsive, and cross-browser compatible Flag any issues that may impact marketing campaign performance or page quality<br>Internal Web Application Support Feynlab is developing a suite of internal web-based tools under CEO leadership - including a proprietary CRM, a project and task management platform, and an R&D application. This role supports the testing, maintenance, and improvement of these tools. Support testing and quality assurance for Feynlab's internal web-based applications Report bugs and issues clearly with documentation of steps to reproduce Assist with feature updates and UI improvements as directed Use AI-assisted code writing tools where appropriate to support development tasks<br>IT Support Provide first-line IT support for Feynlab employees across all locations as directed by the Senior Developer Assist with hardware, software, email, and general office technology troubleshooting Support IT onboarding for new employees including account setup, device configuration, and software access Maintain IT asset records and user access logs accurately Escalate complex or unresolved issues to the Senior Developer promptly<br>Documentation Document completed work, recurring issues, and their resolutions clearly and promptly Contribute to IT and technical documentation in Feynbase, Feynlab's internal knowledge hub Follow documentation standards set by the Senior Developer Share resolutions so the wider team benefits - do not solve the same problem twice<br>Website Compliance Support the Senior Developer in maintaining website compliance across all markets Flag any compliance gaps identified during website maintenance or testing<br>Professional Development Take ownership of your own learning and stay current with relevant web technologies Complete any training or certifications agreed with your manager Actively seek feedback and apply it<br>What Success Looks Like Tasks are completed accurately, on time, and with minimal rework Issues are identified proactively - not waited on or left for someone else When something goes wrong, it is corrected, documented, and shared IT support requests are handled efficiently and employees are unblocked quickly Documentation is clear, current, and useful to others The Senior Developer can delegate with confidence You are growing - taking on more independently with each passing month<br>Independence & Accountability Feynlab values people who take ownership. In this role that means:If you see an error - fix it, document it, and share the resolution If you are stuck - try first, then ask with context on what you have already tried If something is unclear - ask early, not after it becomes a problem If you have a better way of doing something - say so This is not a role where you wait to be told what to do next. Initiative is expected and rewarded.<br>Education A bachelor's degree in Computer Science, Information Technology, Web Development, or a related field is preferred For UAE visa and work permit purposes, a degree attested by the relevant authorities may be required under MOHRE guidelines<br>Skills & Experience Required Working knowledge of front-end web technologies - HTML, CSS, Java Script Practical experience with Word Press is essential - minimum 1-2 years. The role requires working knowledge of Word Press and Woo Commerce as Feynlab operates fully functional e Commerce sites, not standard CMS websites Ability to troubleshoot and debug website issues independently Basic understanding of how websites are hosted, deployed, and managed Comfortable using browser developer tools Strong attention to detail and accuracy Clear written communication in English Organised, reliable, and responsive Preferred Familiarity with Google Analytics, Google Tag Manager, or similar tracking tools Experience with other CMS platforms (Webflow, Shopify, or similar) is an advantage Exposure to any back-end language or framework (PHP, Python, Node.js) Experience with version control - Git or similar Familiarity with AI-assisted coding tools (Git Hub Copilot, Cursor, or similar) Experience supporting internal tools or business applications Basic understanding of web compliance requirements (cookies, privacy, GDPR) IT support experience or exposure<br>Why Join Feynlab Opportunity to grow within a fast-moving international company and take on increasing responsibility as the business scales Work directly alongside experienced senior leadership and make a real impact from day one A growth-oriented, innovative culture that values initiative, accountability, and professional development Visa, labour card, and health insurance provided Competitive compensation

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Requisition Number:</strong> 24494BR<br><strong>Description:</strong><br>We are seeking a highly experienced Digital Delivery Manager to lead, govern, and advance Digital Design delivery across our Buildings Design business.<br>This senior role will be responsible for setting and implementing digital delivery strategies, improving multidisciplinary design workflows, and embedding current and emerging technologies across Architecture, Engineering, Project Delivery and Design Management teams.<br>The successful candidate will combine deep technical knowledge of BIM, Revit-based Delivery, Parametric Design, Design Automation, Digital Twins, and Data-Led Workflows with the leadership capability to drive adoption across a consulting engineering environment<br>Key Responsibilities:<br> Lead the digital delivery strategy for Buildings Design projects, ensuring consistent, efficient, and high-quality delivery across multidisciplinary teams.<br> Assist/Input into the production, oversee the implementation, and ensure maintenance of BIM execution plans, digital delivery standards, model production protocols, information management workflows, and quality assurance procedures.<br> Champion ISO 19650-aligned information management, Common Data Environment governance, model federation, clash detection, issue management, data validation, and structured digital handover processes.<br> Provide leadership to the BIM Managers for Revit-based design delivery across architectural, structural, mechanical, electrical, public health, and specialist design disciplines.<br> Drive the adoption of parametric and computational design workflows using tools such as Rhino, Grasshopper, Dynamo, Python, and related scripting or visual programming environments.<br> Identify opportunities to convert analogue or repetitive design, checking, reporting, and coordination processes into automated digital workflows.<br> Lead the implementation of design automation tools that improve productivity, reduce rework, enhance quality, and support more consistent design outcomes.<br> Guide project teams in the development and implementation of Digital Twin strategies, including asset data structuring, model readiness, operational data requirements, and lifecycle information handover.<br> Evaluate and integrate emerging digital delivery technologies, including AI-assisted design workflows, model checking platforms, automated reporting tools, data dashboards, reality capture, cloud collaboration platforms, and Digital Twin environments.<br> Work closely with design directors, project managers, discipline leads, BIM managers, and delivery teams to align digital solutions with business objectives and project requirements.<br> Establish training, mentoring, and upskilling programmes to improve digital capability across design teams.<br> Act as the senior digital delivery point of contact for clients, partners, subconsultants, contractors, and internal leadership teams.<br> Ensure any new protocols align with the wider Stantec Group policies and procedures.<br> Engage with Global initiatives for standardisation of Stantec workflows and standards, representing Buildings Middle East.<br><strong>Qualifications:</strong><br> Bachelor’s degree in Architecture, Engineering, Construction Management, Computational Design, Digital Design, or a related built environment discipline.<br> Professional certifications in BIM, Digital Delivery, Information Management, or relevant software platforms are highly desirable.<br> Autodesk Certified Professional, Revit certification, Computational Design training, or equivalent technical credentials would be advantageous.<br> Minimum 10–15 years of progressive experience in BIM, digital delivery, design technology, or related roles within an engineering consultancy, architecture practice, multidisciplinary design firm, or major built environment organisation.<br> At least 5 years in a leadership role managing BIM, digital delivery, computational design, automation, or information management teams driving adoption and transformational change at a regional business level.<br> Proven experience delivering complex Buildings Design projects across multiple disciplines and project stages, from concept design through detailed design, tender, construction support, and handover.<br> Demonstrated experience developing and implementing BIM standards, digital delivery frameworks, automation strategies, and project-specific digital execution plans.<br> Strong understanding of engineering consultancy workflows, design coordination requirements, project delivery governance, and client-facing delivery expectations.<br>Technical Knowledge and Software Requirements:<br> Advanced knowledge of BIM authoring and coordination tools, particularly Autodesk Revit, Navisworks, Autodesk Construction Cloud, BIM 360, BIM Collaborate Pro, and related Autodesk ecosystem tools.<br> Strong working knowledge of model federation, clash detection, issue tracking, model auditing, information exchange, and digital QA/QC workflows.<br> Advanced understanding of parametric and computational design platforms such as Rhino, Grasshopper, Dynamo, and associated plug-ins or scripting environments.<br> Knowledge of design automation approaches using Dynamo, Grasshopper, Python, C#, APIs, custom Revit add-ins, Rhino.Inside.Revit, Speckle, Power Automate, Power BI, and other workflow automation platforms.<br> Familiarity with Digital Twin development and implementation, including asset information requirements, data schemas, model classification, IoT integration concepts, operational readiness, and integration with facilities management or asset management systems.<br> Experience with Common Data Environments and collaboration platforms such as Autodesk Construction Cloud, ProjectWise, Trimble Connect, BIMcollab, Revizto, SharePoint, and similar project delivery environments.<br> Awareness of current and emerging tools for reality capture, laser scanning, photogrammetry, AI-assisted model checking, generative design, automated code checking, data dashboards, and model-based reporting.<br> Strong understanding of ISO 19650 principles, BIM Execution Plans, Exchange Information Requirements, Asset Information Requirements, naming conventions, classification systems, and information delivery milestones.<br>Design Automation and Innovation Competencies:<br> Ability to identify repetitive design, documentation, checking, scheduling, quantity extraction, reporting, and coordination tasks that can be automated.<br> Experience developing or leading automation workflows that improve speed, accuracy, consistency, and design quality.<br> Ability to translate analogue processes, spreadsheet-based tools, manual checking routines, and discipline-specific workflows into scalable automated solutions.<br> Strong understanding of data-driven design, computational logic, interoperability, open data exchange, and integration between modelling, analysis, reporting, and project controls systems.<br> Ability to evaluate new technology against business value, project needs, user adoption, risk, cost, and measurable productivity benefits.<br><strong>Preferred Specifications:</strong><br>Leadership and Business Competencies<br> Strong leadership capability with experience managing, mentoring, and developing BIM, digital delivery, and design technology teams.<br> Excellent communication skills with the ability to engage senior leadership, clients, project managers, discipline leads, and technical production teams.<br> Commercial awareness and the ability to link digital delivery improvements to productivity, quality, risk reduction, margin protection, and improved project outcomes.<br> Ability to influence change and drive digital adoption across multidisciplinary teams with varying levels of digital maturity.<br> Strong project governance mindset, including planning, workload management, delivery assurance, risk management, and quality control.<br> Ability to prepare digital delivery strategies, implementation roadmaps, business cases, training plans, technical standards, and performance dashboards.<br> Collaborative, proactive, and solutions-focused approach with a commitment to continuous improvement and innovation.<br><strong>About Stantec:</strong><br>We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary.<br>The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us!<br><strong>Work Location(s):United Arab Emirates-Dubai</strong><br><strong>Employment Type:</strong> <strong>Full-Time</strong><br><strong>Job Type:</strong> <strong>Regular</strong><br><strong>Job Category:</strong> <strong>Engineering Other, Internet/WWW, Technology</strong></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Requisition Number:</strong> 24494BR<br><strong>Description:</strong><br>We are seeking a highly experienced Digital Delivery Manager to lead, govern, and advance Digital Design delivery across our Buildings Design business.<br>This senior role will be responsible for setting and implementing digital delivery strategies, improving multidisciplinary design workflows, and embedding current and emerging technologies across Architecture, Engineering, Project Delivery and Design Management teams.<br>The successful candidate will combine deep technical knowledge of BIM, Revit-based Delivery, Parametric Design, Design Automation, Digital Twins, and Data-Led Workflows with the leadership capability to drive adoption across a consulting engineering environment<br>Key Responsibilities:<br> Lead the digital delivery strategy for Buildings Design projects, ensuring consistent, efficient, and high-quality delivery across multidisciplinary teams.<br> Assist/Input into the production, oversee the implementation, and ensure maintenance of BIM execution plans, digital delivery standards, model production protocols, information management workflows, and quality assurance procedures.<br> Champion ISO 19650-aligned information management, Common Data Environment governance, model federation, clash detection, issue management, data validation, and structured digital handover processes.<br> Provide leadership to the BIM Managers for Revit-based design delivery across architectural, structural, mechanical, electrical, public health, and specialist design disciplines.<br> Drive the adoption of parametric and computational design workflows using tools such as Rhino, Grasshopper, Dynamo, Python, and related scripting or visual programming environments.<br> Identify opportunities to convert analogue or repetitive design, checking, reporting, and coordination processes into automated digital workflows.<br> Lead the implementation of design automation tools that improve productivity, reduce rework, enhance quality, and support more consistent design outcomes.<br> Guide project teams in the development and implementation of Digital Twin strategies, including asset data structuring, model readiness, operational data requirements, and lifecycle information handover.<br> Evaluate and integrate emerging digital delivery technologies, including AI-assisted design workflows, model checking platforms, automated reporting tools, data dashboards, reality capture, cloud collaboration platforms, and Digital Twin environments.<br> Work closely with design directors, project managers, discipline leads, BIM managers, and delivery teams to align digital solutions with business objectives and project requirements.<br> Establish training, mentoring, and upskilling programmes to improve digital capability across design teams.<br> Act as the senior digital delivery point of contact for clients, partners, subconsultants, contractors, and internal leadership teams.<br> Ensure any new protocols align with the wider Stantec Group policies and procedures.<br> Engage with Global initiatives for standardisation of Stantec workflows and standards, representing Buildings Middle East.<br><strong>Qualifications:</strong><br> Bachelor’s degree in Architecture, Engineering, Construction Management, Computational Design, Digital Design, or a related built environment discipline.<br> Professional certifications in BIM, Digital Delivery, Information Management, or relevant software platforms are highly desirable.<br> Autodesk Certified Professional, Revit certification, Computational Design training, or equivalent technical credentials would be advantageous.<br> Minimum 10–15 years of progressive experience in BIM, digital delivery, design technology, or related roles within an engineering consultancy, architecture practice, multidisciplinary design firm, or major built environment organisation.<br> At least 5 years in a leadership role managing BIM, digital delivery, computational design, automation, or information management teams driving adoption and transformational change at a regional business level.<br> Proven experience delivering complex Buildings Design projects across multiple disciplines and project stages, from concept design through detailed design, tender, construction support, and handover.<br> Demonstrated experience developing and implementing BIM standards, digital delivery frameworks, automation strategies, and project-specific digital execution plans.<br> Strong understanding of engineering consultancy workflows, design coordination requirements, project delivery governance, and client-facing delivery expectations.<br>Technical Knowledge and Software Requirements:<br> Advanced knowledge of BIM authoring and coordination tools, particularly Autodesk Revit, Navisworks, Autodesk Construction Cloud, BIM 360, BIM Collaborate Pro, and related Autodesk ecosystem tools.<br> Strong working knowledge of model federation, clash detection, issue tracking, model auditing, information exchange, and digital QA/QC workflows.<br> Advanced understanding of parametric and computational design platforms such as Rhino, Grasshopper, Dynamo, and associated plug-ins or scripting environments.<br> Knowledge of design automation approaches using Dynamo, Grasshopper, Python, C#, APIs, custom Revit add-ins, Rhino.Inside.Revit, Speckle, Power Automate, Power BI, and other workflow automation platforms.<br> Familiarity with Digital Twin development and implementation, including asset information requirements, data schemas, model classification, IoT integration concepts, operational readiness, and integration with facilities management or asset management systems.<br> Experience with Common Data Environments and collaboration platforms such as Autodesk Construction Cloud, ProjectWise, Trimble Connect, BIMcollab, Revizto, SharePoint, and similar project delivery environments.<br> Awareness of current and emerging tools for reality capture, laser scanning, photogrammetry, AI-assisted model checking, generative design, automated code checking, data dashboards, and model-based reporting.<br> Strong understanding of ISO 19650 principles, BIM Execution Plans, Exchange Information Requirements, Asset Information Requirements, naming conventions, classification systems, and information delivery milestones.<br>Design Automation and Innovation Competencies:<br> Ability to identify repetitive design, documentation, checking, scheduling, quantity extraction, reporting, and coordination tasks that can be automated.<br> Experience developing or leading automation workflows that improve speed, accuracy, consistency, and design quality.<br> Ability to translate analogue processes, spreadsheet-based tools, manual checking routines, and discipline-specific workflows into scalable automated solutions.<br> Strong understanding of data-driven design, computational logic, interoperability, open data exchange, and integration between modelling, analysis, reporting, and project controls systems.<br> Ability to evaluate new technology against business value, project needs, user adoption, risk, cost, and measurable productivity benefits.<br><strong>Preferred Specifications:</strong><br>Leadership and Business Competencies<br> Strong leadership capability with experience managing, mentoring, and developing BIM, digital delivery, and design technology teams.<br> Excellent communication skills with the ability to engage senior leadership, clients, project managers, discipline leads, and technical production teams.<br> Commercial awareness and the ability to link digital delivery improvements to productivity, quality, risk reduction, margin protection, and improved project outcomes.<br> Ability to influence change and drive digital adoption across multidisciplinary teams with varying levels of digital maturity.<br> Strong project governance mindset, including planning, workload management, delivery assurance, risk management, and quality control.<br> Ability to prepare digital delivery strategies, implementation roadmaps, business cases, training plans, technical standards, and performance dashboards.<br> Collaborative, proactive, and solutions-focused approach with a commitment to continuous improvement and innovation.<br><strong>About Stantec:</strong><br>We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary.<br>The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us!<br><strong>Work Location(s):United Arab Emirates-Dubai</strong><br><strong>Employment Type:</strong> <strong>Full-Time</strong><br><strong>Job Type:</strong> <strong>Regular</strong><br><strong>Job Category:</strong> <strong>Engineering Other, Internet/WWW, Technology</strong></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Senior Test Automation Engineer will play a critical role in enhancing Test Automation solutions for the Client’s applications and platforms including the SupTech program, Payments &amp; Reporting platforms and related technology stacks within a modern DevSecOps delivery pipeline.<br> This role encompasses analyzing technical and functional designs, defining test strategies, designing and implementing automated test frameworks and test cases (UI, API, Mobile App, Integrations, Performance Testing), and ensuring high quality, reliability, and security of software deliveries.<br> The Senior Test Automation Engineer will drive continuous improvement in test automation practices &amp; tooling to meet Client’s quality objectives, collaborating with relevant stakeholders to optimize test coverage, execution efficiency, &amp; compliance with industry standards and internal policies Additionally, the engineer will be responsible for integrating existing CI/CD pipelines with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline and utilizing mobile app testing tools such as Appium, Espresso, XCUITest, and Detox The role also involves promoting modern software quality engineering practices, fostering innovation in automation, ensuring code and test quality, promoting collaboration through agile practices, providing effective support and resolution for quality-related issues, and aligning testing and automation decisions with the overall objectives of the Client.<br> Key Responsibilities Core Responsibilities Enhance and implement a robust, scalable, and maintainable test automation solutions for Client’s applications stack.<br> The role ensures that automated testing frameworks and suites are aligned with modern technology stacks and continuously support evolving business and regulatory needs.<br> It involves setting the overall test automation strategy and technical vision, defining quality and testability standards, and ensuring adherence to best practices in software testing, evaluating Test automation and Performance Testing tools and its frameworks, Quality engineering patterns, Adopt agile testing practices and principles across the environment.<br> 1. Test Automation Strategy, Design and Implementation · Design, develop, maintain, and enhance the test automation strategy for key applications and platforms (including SupTech (Supervision Technology for banking supervision), Payments &amp; Reporting, and other critical systems).<br> · Analyze business, functional, and technical requirements to design effective automated test scenarios and suites.<br> · Design, build, and maintain modular, reusable, and scalable test automation frameworks (UI, API, Mobile, Integration, Performance and Regression).<br> · Ensure test automation solutions are aligned with architectural standards, security guidelines, JIRA and DevSecOps/CI-CD practices.<br> · Integrate existing CI/CD pipeline with test automation scripts to establish a full CI/CD/CT (Continuous Testing) pipeline, ensuring continuous validation throughout the development lifecycle.<br> 2. Test Development, Execution and maintenance · Develop, review, and optimize automated test scripts using approved tools and languages.<br> · Integrate automated tests into JIRA (Xray Test Case Management) for comprehensive test case lifecycle management, including requirements traceability, execution tracking, and reporting.<br> · Maintain and refactor existing test suites to improve stability, reliability, coverage, and execution speed, monitor and analyze test execution results, identify flakiness or instability, and implement corrective actions.<br> · Ensure timely execution of automated suites in line with release schedules and quality KPIs.<br> · Implement Mobile Device Farm integration with Tosca (using tools like Perfecto, BrowserStack, or Sauce Labs) to execute automated mobile test cases on both physical devices and emulators/simulators.<br> 3. Quality Engineering, Standards and Governance · Adhere to test automation coding standards, best practices, and design patterns, modern quality engineering approaches (e.<br>g., Test-Driven, Behaviour-Driven, shift-left testing).<br> · Contribute to maintain test data &amp; environment management, test configuration standard · Support the establishment and tracking of quality metrics (e.<br>g., test coverage, defect leakage, automation coverage, and execution duration).<br> · Ensure testing practices are compliant with internal policies, regulatory requirements, and industry standards.<br> 4. Collaboration, Stakeholder Engagement and Support · Collaborate closely with BA, Developers, Solution architects, PMO, and operations teams to ensure quality is embedded throughout the lifecycle.<br> · Liaise between business users and technical teams to clarify requirements, acceptance criteria, test coverage, support for test automation and quality-related issues, including troubleshooting test failures, environment issues and tool integration challenges.<br> · Participate actively in agile ceremonies (planning, refinement, reviews, retrospectives) to represent quality and test automation perspectives.<br> 5. Tooling, Innovation and continuous improvement · Evaluate, recommend, and implement test automation, performance testing, and quality engineering tools and frameworks that align with the Client’s technology stack.<br> · Explore and adopt innovative approaches such as AI-assisted testing, model-based testing, and test impact analysis where relevant.<br> · Continuously optimize test suites (e.<br>g., prioritization, parallelization, environment usage) to reduce cycle time and improve feedback speed.<br> · Identify opportunities to improve processes, enhance test coverage, and increase automation maturity across teams.<br> · Utilize mobile app testing tools such as Appium, Espresso, XCUITest, and Detox for mobile automation and implement CI/CD/CT pipeline orchestration to enable continuous testing with automated smoke, regression, integration, and performance tests.<br> 6. Documentation and Knowledge management · Develop and maintain comprehensive documentation for test automation frameworks, standards, test suites, and execution processes.<br> · Document and share lessons learned, best practices, and guidelines for effective automation of quality.<br> · Perform any other duties outside the scope as and when required.<br> Self-Management Responsibilities · Professional Development: Identify and pursue training opportunities to enhance skills and competencies.<br> · Competency Mastery: Strive for excellence across all required competencies for the role.<br> · Industry Awareness: Stay informed about emerging trends, techniques, and advancements in the field to ensure continued relevance and capability.<br> Threshold Qualifications: · Bachelor’s or Master’s degree in Software Engineering (IT) · Professional certifications in Software Testing Automation.<br> · Extensive expertise in Tricentis TOSCA automation tool, NEOLOAD performance testing tool · ISTQB, Cypress/Appium certifications, Agile/Scrum, DevSecOps, CI/CD would be an advantage.<br> · Certifications in mobile testing tools (Appium, XCUITest, Espresso, Detox) · Xray Certified Practitioner (JIRA Xray Test Case Management) - Preferred Experience: · Minimum of 6+ years of hands-on experience in software testing with a strong focus on test automation across UI, API, and integration layers.<br> · Proven track record in designing, implementing, and maintaining automation frameworks and suites for enterprise-level applications.<br> Technical Skills: Tosca Automation Specialist: · Tosca Installation Setup, Server management, Tosca Commander workspace navigation, Scanning modules.<br> · Test Data Service (TDS) for data creation, Test case design (TCD), Test data management (TDM), Setting up Distributed Execution (DEX) agents.<br> · Parameterization, Synchronization, Simulation, Integration testing.<br> · Proficiency in Selenium, JMeter/LoadRunner, REST/SOAP, Postman, Appium, Espresso, XCUITest, Detox · Scripting language for test automation (Java, JavaScript, Python) · CI/CD/CT Pipeline Experience: Integrating automated tests within CI/CD pipelines (Jenkins, GitLab, Azure DevOps) to establish continuous testing workflows.<br> Experience with CI/CD/CT orchestration and pipeline management Preferred Skills : · Advanced module design patterns, recovery scenarios, utilizing libraries to maintain stable automated suites.<br> · Skills to automate API/Microservices testing (REST/SOAP, Postman, Swagger) · Data-driven tests to maximize coverage with minimal test cases.<br> · Database Testing: MSSQL, MYSQL, ORACLE · Analytical skills to conduct RCA (root cause analysis) · Integrating automated tests within CI/CD pipelines (Jenkins, GitLab Azure DevOps) · Familiarity with containerization and orchestration (Docker, Kubernetes) · Integration of Tosca to Mobile Device Farm (such as Perfecto, BrowserStack, Sauce Labs) and able to execute automated testcases in Mobile Devices (Physical device or Emulator/Simulator) · Mobile App Testing Tools: Appium, Espresso, XCUITest, Deto Preferred Certifications: · Tosca Automation Suite (AS1 and AS2) and Test Design Specialist (TDS1 &amp; TDS2) · Automation Engineer (AE) · Xray Certified Practitioner (JIRA Xray Test Case Management)</span> </div>

Company Overview Namiri Technology Services LLC provides tax integration software and services in the UAE, aligned with the e-Invoicing framework led by the Ministry of Finance (MoF) and Federal Tax Authority (FTA). Its flagship platform, Digi Tax, helps businesses transmit tax data simply, securely and efficiently. Digi Tax operates across Kenya, Nigeria, Zambia and the UAE through a single integration layer supporting multiple national e-invoicing regimes. The UAE framework follows a decentralised, Peppol-based five-corner model. Structured invoices are exchanged in the PINT AE format through Accredited Service Providers and reported to the FTA in near real time. The UAE mandate is entering its live phase. The voluntary pilot opened on 1 July 2026. Businesses with annual revenue of AED 50 million or more must appoint an Accredited Service Provider by 30 October 2026, with mandatory issuance beginning on 1 January 2027 for this group. Additional cohorts will follow during 2027. Demand for technical integration support is therefore immediate and expected to grow. Position Summary The Pre-Sales / Integrations Engineer is a customer-facing technical role supporting Sales, Partners and Integrations throughout the customer lifecycle. You will help prospects and customers understand how Digi Tax connects with their ERP, billing platform, POS or custom application. You will deliver technical demonstrations, answer integration questions, prepare solution documentation and support customers through pilot, sandbox and pre-go-live testing. You will also serve as the technical point of contact for Digi Tax’s partner ecosystem, including ERP implementation partners, software vendors, accounting and audit firms, resellers and internal development teams. You will help partners build, test and certify connectors, plugins and embedded workflows using the Digi Tax API. The role requires close collaboration with Sales, Integrations, Engineering and Product to develop clear integration plans that satisfy PINT AE and Peppol requirements. Responsibilities Prospects and Direct Customers Join sales calls to understand the customer’s systems, technical environment, invoice volumes and integration requirements. Deliver technical demonstrations covering Digi Tax, APIs, data flows, PINT AE field mapping and common integration patterns. Respond accurately to technical questions, RFPs, RFIs and security or compliance questionnaires. Prepare integration scoping documents, solution diagrams, field-mapping sheets and sample payloads. Support customers during pilot and sandbox phases by troubleshooting API calls, validating XML, interpreting PINT AE errors and explaining Peppol responses. Guide customers through onboarding requirements, including ASP appointment, Emara Tax onboarding, Peppol identifier setup and master-data preparation. Help customers identify and close data gaps between their ERP and the UAE Data Dictionary. Escalate complex implementation matters and hand over clearly to Integrations and Engineering. Partners and Ecosystem Act as the technical contact for ERP vendors, accounting platforms, implementation partners, channel partners, audit firms and developer teams. Run partner onboarding sessions covering API functionality, sandbox access, credentials and environment setup. Support partners building connectors, plugins, extensions and embedded workflows on the Digi Tax API. Advise partners where Digi Tax should fit within their invoice lifecycle and how to display statuses, errors and retries. Review partner integrations against functional and compliance checklists before certification or go-live. Conduct developer office hours and working sessions to resolve authentication, payload, validation and document-type issues. Create and maintain API documentation, quick-start guides, reference implementations, sample applications, Postman collections and changelogs. Communicate API changes, deprecations and new capabilities to partners. Identify frequently repeated partner requirements and recommend reusable platform features or plugins to Product. Cross-Functional Responsibilities Maintain pre-sales collateral, integration guides, FAQs, sample code, Postman collections and demo environments. Capture recurring customer and partner issues and share them with Product and Engineering. Monitor changes to MoF and FTA guidance, specifications and timelines. Ensure customer- and partner-facing guidance remains accurate and aligned with UAE e-invoicing requirements. Technical Skills Working knowledge of REST APIs, webhooks and authentication methods such as API keys, OAuth and certificates. Exposure to SOAP or Graph QL is an advantage. Comfortable working with XML and JSON and reviewing sample payloads. Exposure to UBL, XSD or Schematron validation is beneficial. Experience with Postman, Insomnia or similar API testing tools. Basic ability to read logs and diagnose integration issues. Understanding of how ERPs, billing platforms and POS systems generate and exchange transaction data. Exposure to SAP, Oracle Net Suite, Microsoft Dynamics 365, Odoo, Zoho, Sage or Tally is valuable. Understanding of ERP add-ons, middleware, i Paa S tools, plugins and extension frameworks. Awareness of good API design principles, including clear documentation, useful error messages, sandbox parity, idempotency and versioning. Ability to write practical developer documentation and quick-start guides. Basic understanding of tax invoices, credit notes, debit notes and self-billed invoices. Familiarity with UAE VAT concepts, including TRN, standard-rated, zero-rated and exempt supplies, reverse charge and designated zones. Familiarity with Peppol, PINT AE or regional frameworks such as ZATCA is preferred. Basic scripting ability in Python, Java Script or a similar language is an advantage. Education and Experience Bachelor’s degree in Computer Science, IT, Engineering, Finance, Accounting or a related field. Equivalent industry experience may be considered. One to three years of experience in a customer-facing technical role, such as pre-sales engineering, solutions consulting, technical support, implementation or integrations. Experience supporting customers with API-based product integrations is strongly preferred. Experience supporting external developers or partners building on an API is highly valued. UAE, GCC or regional ERP implementation experience is an advantage. Professional fluency in English is required. Arabic is a strong advantage. Candidate Profile Customer-focused and able to understand business needs and translate them into technical requirements. Curious and willing to learn new APIs, systems, tools and specifications quickly. Clear communicator who can explain technical concepts to non-technical stakeholders. Comfortable preparing documentation, writing follow-ups and delivering live demonstrations. Structured problem solver who investigates authentication, payload, validation and endpoint issues methodically. Takes ownership, follows through on commitments and escalates issues appropriately. Enjoys enabling partners through documentation, training and repeatable solutions. Treats developer documentation, examples and error explanations as part of the product. Comfortable managing multiple customer onboardings against fixed regulatory deadlines. Honest and composed; does not over-promise and can clearly explain unsupported features. Comfortable working with UAE’s multinational business community and adapting communication styles. Collaborative across Sales, Integrations, Engineering and Product. Compliance-aware and committed to providing guidance consistent with approved MoF and FTA requirements.

Who are we?<br><br>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.<br><br>We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.<br><br>We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.<br><br>We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!<br><br>About North<br><br>North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.<br><br>Why This Role?<br><br>This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.<br><br>We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.<br><br>Note: between 20 - 40% travel anticipated<br><br>In This Role, You Will<br><br>Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization Travel up to 20–40% to work on-site with customers and partners<br><br>You May Be a Good Fit If<br><br>You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs You have experience owning the full scope of a use case end-to-end You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting<br><br>It's a Bonus If You Have<br><br>Experience setting architectural standards for AI and agentic systems across distributed teams Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) Experience with enterprise security, compliance, or auditability requirements for AI systems<br><br>We are open to candidates currently based in the Middle East or who are open to travelling or relocating.<br><br>Full-Time Employees At Cohere Enjoy These Perks<br><br>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme.100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits:<br><br>Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.<br><br>Education & learning stipend for conferences, courses, and coaching.<br><br>6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite.<br><br>How And Where We Work<br><br>Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly.<br><br>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.<br><br>We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.<br><br>We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.<br><br>Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and Linked In only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)<br><br>Location: Bangkok, Thailand (*Not open for remote work)<br><br>Get to Know our Team:<br><br>The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.<br><br>The Opportunity: <br><br>As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.<br><br>In this Role, you’ll get to:<br><br>Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations<br><br>What you’ll Need to Succeed:<br><br>At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources.<br><br>It’s Great if you Have: <br><br>MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise Saa S companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.<br><br>The Role<br><br>As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases. You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization.<br><br>The Work You’ll Do<br><br>Discovery & Advanced AI Solutioning: Act as the foremost Celonis product and domain positioning expert. Seamlessly translate deep domain expertise and complex customer requirements into flawless enterprise architecture. You will lead technical discovery to architect, prototype, and build bespoke, state-of-the-art AI solutions targeting nuanced operational pain points. AI Solution Development: Lead the end-to-end execution of high-stakes Proof-of-Value (PoV) projects. Architect and deliver highly secure, scalable LLM/agent systems with advanced RAG, tools, and strict guardrails; integrating flawlessly with rigid enterprise data, identity, and compliance frameworks. Value Selling & Realization: Act as a trusted advisor, maintaining active involvement with strategic accounts to ensure programmatic value realization until agreed-upon value, massive adoption thresholds, and operational transformations are achieved. Domain & Industry Specialization: Leverage deep domain expertise combined with cross-system, AI-driven solutioning to architect industry-specific E2E solutions. You will codify this work into reusable methodology and globally scalable assets to accelerate time-to-value and mentor junior peers.<br><br>The Qualifications You Need<br><br>Executive-Facing Presales & Value Engineering (7+ years): Demonstrated experience independently owning the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, complex ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems—with a clear track record of driving projects all the way through to achieved value. Domain & Industry Expertise: Comprehensive knowledge of core operational workflows and industry landscapes (e.g., supply chain, finance). You can speak the language of C-suite executives and seamlessly connect complex, systemic bottlenecks to strategic AI solutions. Agentic AI Systems: Advanced architectural mastery of LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, and agentic patterns for enterprise workflows. Math & Operations Research: Practical, expert-level application of linear/nonlinear optimization, rigorous statistical analysis, reinforcement learning, and advanced predictive forecasting. Production ML/LLMOps at Scale: Extensive experience in designing deployment architectures and dictating reliability standards for production-grade AI across cloud providers (AWS Bedrock, Azure AI, GCP Vertex AI). Software/Data Engineering: Python proficiency, modular API design, creating reusable libraries, advanced SQL, and scalable data integration using ML/AI frameworks (PyTorch, Tensor Flow, scikit-learn, XGBoost, Hugging Face). AI Architecture & Security: Proven ability to architect secure enterprise cloud environments, ensuring stringent adherence to identity and access management (IAM) protocols, data governance frameworks, global privacy laws, and overarching security standards. Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. Flawless English with exceptional executive presence. Degree: Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.<br><br>What Celonis Can Offer You<br><br>Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.<br><br>About Us<br><br>Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.<br><br>Get familiar with the Celonis Process Intelligence Platform by watching this video.<br><br>Celonis Inclusion Statement<br><br>At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.<br><br>Your Privacy<br><br>Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices<br><br>By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.<br><br>Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Chief Technology Officer<br>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.<br>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.<br>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:<br>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."<br>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.<br>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.<br>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."<br>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.<br>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<br>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.

Chief Technology Officer<br>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.<br>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.<br>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:<br>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."<br>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.<br>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.<br>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."<br>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.<br>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<br>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.

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

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.<br><br>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.<br><br>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.<br><br>The role combines office-based spatial analysis with opportunities to participate in field surveys, environmental monitoring, and marine habitat assessments across the UAE.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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<br><br>About NYU Abu Dhabi<br><br>https://nyuad.nyu.edu/en/<br><br>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.<br><br>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.<br><br>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.<br><br>Working for NYUAD<br><br>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.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>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.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br>Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>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.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>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.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

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.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>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<br><br>About NYU Abu Dhabi<br><br>https://nyuad.nyu.edu/en/<br><br>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.<br><br>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.<br><br>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.<br><br>Working for NYUAD<br><br>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.<br><br>Visit our website for more information on benefits for you and your dependents.<br><br>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.<br><br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><br> Join NYU Abu Dhabi, an exceptional place for exceptional people.<br><br>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.<br><br>@WorkAtNYUAD<br><br>Equal Employment Opportunity Statement<br><br>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br>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.<br><br>Sustainability Statement <br><br>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Market <br> Advanced Manufacturing <br> <br> <br> <br> <br> <br> <p>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.</p><br><br> <br> <br> <br> <br> Your impact <br> <p>Overview:&nbsp;</p><br><br><p><span>The intern will support application development and Power BI dashboard delivery across internal business needs.&nbsp;</span></p><br><br><br><p><span>Key responsibilities will include:&nbsp;</span></p><br><br><ul><li><span>developing and testing applications or workflow tools, building and maintaining Power BI dashboards,&nbsp;</span></li><li><span>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.</span></li></ul><br> <br> <br> <br> <br> Here's what you'll need <br> <p>Requirements:&nbsp;</p><br><br><ul><li><span>Computer Science graduate or final-year student, or equivalent degree in Software Engineering, Data Science, Information Systems, or related technology discipline</span></li><li><span>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.</span></li><li><span>Growth for the successful candidate would mean progressing from task-based technical support to independently owning small application or dashboard workstreams.</span></li><li><span>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.&nbsp;</span></li><li><span>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.</span></li></ul> <br> <br> <br> <br> 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.<br> <br> 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.<br> <br> No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.<br> <br> <br> <br> <br> <p>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.</p><br><br> <br> <br> <br> <p>Onsite employees are expected to attend a Jacobs Workplace on a full-time basis, as required by the nature of their role.</p><br><br> <br> <br> <br> <p>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.</p><br><br> <br> <br> <br> <br> <br> Locations <br> CityStateCountry<br>Bur DubaiAll AE RegionsUnited Arab Emirates<br> <br> <br> <br> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems.<br> 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.<br> At DeepLight, we don't believe in "off-the-shelf" fixes.<br> We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.<br> From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.<br> As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions.<br> 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.<br> 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.<br> This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.<br> Key ResponsibilitiesGenerative &amp; 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.<br> Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.<br> Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.<br> Deep Learning &amp; Model Optimization Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.<br> Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.<br>g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.<br> Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.<br> Data &amp; MLOps Infrastructure Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.<br> Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.<br> Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.<br> As an AI consultancy, our greatest asset is the expertise of our people.<br> 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.<br> 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.<br> 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.<br> If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.<br> 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.<br> The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br> At DeepLight AI, we recognise that diversity drives innovation.<br> 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.<br> Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br> 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.<br> This information will be kept strictly confidential and will not impact hiring decisions.<br> We need you to have: A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.<br> Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).<br> Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.<br> AI, Modeling &amp; Frameworks Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.<br> Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.<br> A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.<br> High proficiency in configuring and querying Vector Databases (e.<br>g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.<br> Software Engineering &amp; Core Tools Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.<br> Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.<br>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.<br> Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.<br>g., familiarity with data privacy, compliance, and secure financial data models).<br> Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company:MarshDescription:<p>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.</p><br>The Opportunity<p>Marsh is seeking a<b>Summer Intern (AI, Data Science)</b>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.</p><br>What You Can Expect<ul><li>Hands-on involvement in enhancing and transforming processes and business operations within the<b>largest insurance broker in the world</b>.</li><li>An open work culture with a strong emphasis on<b>innovation, collaboration, and solving business problems</b>.</li><li>Exposure to international businesses and collaboration with colleagues across geographies.</li><li>An energetic, entrepreneurial team environment with experience across<b>data science, visualization, and descriptive analytics</b>.</li></ul>Key Responsibilities (What We Will Count on You For)<ul><li>Demonstrate strong<b>problem-solving</b>capability by understanding business requirements and exploring multiple solution approaches to deliver the desired outcome.</li><li>Gain expertise in<b>Marsh AI products</b>and support adoption by:<ul><li>Delivering trainings to colleagues</li><li>Customizing tools and workflows using<b>LLM-based solutions</b>where applicable</li></ul></li><li>Develop<b>prototypes, proof-of-concepts, and pilot programs</b>for high-priority opportunities.</li><li>Develop and deliver engaging<b>short training sessions</b>on AI fundamentals tailored to different audiences.</li><li>Create accessible training materials, including<b>presentations, videos, guides, and reference documents</b>.</li><li>Provide regular reporting on<b>project status, deliverables, and stakeholder communications</b>.</li><li>Support<b>pilot implementations</b>of 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 of<b>attention to detail</b>in deliverables and documentation.</li></ul>What You Need to Have (Required)<ul><li>Familiarity with<b>AI / machine learning concepts and applications</b>.</li><li>Basic data analysis experience and comfort working with<b>Excel (or similar analytical tools)</b>.</li><li>Experience with<b>business intelligence and/or data visualization tools</b>.</li><li>Intermediate capability in building tools in<b>Python</b>, leveraging available AI models where appropriate.</li><li>Proficiency in<b>MS Office</b>(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 an<b>undergraduate or graduate/master’s degree</b>in:<ul><li>Computer Science, Business, Engineering, Data Science, Information Systems, Business Analytics, or a related field.</li></ul></li></ul>Why Marsh<p>You’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.</p><br><p><b>Interested?</b>Apply now to be considered for the Summer Intern (AI, Data Science) role at Marsh.</p><br>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>

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 (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>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.<br>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.<br>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<br>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.<br>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.<br>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.<br>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.<br>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.<br>Required Skills & Qualifications<br>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<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 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.

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 (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>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.<br>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.<br>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<br>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.<br>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.<br>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.<br>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.<br>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.<br>Required Skills & Qualifications<br>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<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 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.

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 (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>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.<br>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.<br>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<br>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.<br>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.<br>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.<br>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.<br>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.<br>Required Skills & Qualifications<br>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<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><b>Company:</b>Qualcomm Engineering FZ LLC<br><b>Job Area:</b>Engineering Group, Engineering Group &gt; Software Engineering<br><p><u><b>General Summary:</b></u></p><br><br><br><p><b><span>Role Overview</span></b></p><br><br><p><span><span>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.</span></span></p><br><br><p><span><span>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.</span></span></p><br><br><p><span><span>This is a unique opportunity to shape the future of AI, 6G, edge computing, and connected ecosystems while working on large-scale transformational projects</span></span>.</p><br><br><br><p><u><b><span>Key Responsibilities</span></b></u><span><u>&nbsp;<b>will include</b></u></span></p><br><br><br><p><b><span>End-to-End Solution Architecture</span></b></p><br><br><ul><li><p><span><span>Design and architect end-</span><span>to</span><span>-end AI and digital transformation solutions from edge devices to cloud platforms.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Translate customer requirements into scalable technical architectures and deployment strategies.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Drive architecture decisions across hardware, software, connectivity, AI models, cloud services, and system integration.</span></span></p><br><br></li></ul><br><p><b><span>AI &amp; Edge Computing</span></b></p><br><br><ul><li><p><span><span>Enable deployment and optimization of AI/ML workloads across Edge and Cloud environments.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Understand trade-offs involving latency, power consumption, model accuracy, memory constraints, and system performance.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Guide customers on AI model deployment, optimization, quantization, inference acceleration, and system scaling.</span></span></p><br><br></li></ul><br><p><b><span>Customer Engagement &amp; Technical Leadership</span></b></p><br><br><ul><li><p><span><span>Serve as a trusted technical advisor throughout the customer journey, from discovery and PoC to deployment and production scaling.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Collaborate with key stakeholders to define solution roadmaps and success metrics.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Lead technical workshops, architecture reviews, and executive-level discussions.</span></span></p><br><br></li></ul><br><p><b><span>Platform &amp; Cloud Architecture</span></b></p><br><br><ul><li><p><span><span>Architect scalable cloud-native and hybrid solutions supporting millions of connected devices.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Design data pipelines, data lakes, analytics platforms, and AI-enabled backend services.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Develop architectures supporting high availability, security, multi-tenancy, and enterprise-grade scalability.</span></span></p><br><br></li></ul><br><p><u><b><span>Preferred Qualifications</span></b></u></p><br><br><br><p><b><span>Technical Expertise</span></b></p><br><br><ul><li><p><span><span>Strong experience in:&nbsp;</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Solution Architecture</span></span></p><br><br></li></ul><br><ul><li><p><span><span>AI/ML Systems</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Edge Computing</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Cloud Platforms (AWS, Azure, GCP)</span></span></p><br><br></li></ul><br><ul><li><p><span><span>IoT Platforms</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Distributed Systems</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Data Engineering</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Software Architecture</span></span></p><br><br></li></ul><br><p><u><b><span>Desired Background</span></b></u></p><br><br><ul><li><p><span><span>Experience building and deploying end-to-end intelligent systems spanning Edge, Cloud, and AI.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Demonstrated expertise in customer-facing technical roles such as:&nbsp;</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Solutions Architect</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Field Applications Engineer</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Customer Engineer</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Technical Consultant</span></span></p><br><br></li></ul><br><ul><li><p><span><span>AI Platform Architect</span></span></p><br><br></li></ul><br><p><u><b><span>What Will Make You Stand Out</span></b></u></p><br><br><ul><li><p><span><span>Experience with drones, robotics, smart cities, industrial IoT, or large-scale AI transformation initiatives.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Strong entrepreneurial mindset with a proven ability to build new solutions and influence technical strategy.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Ability to connect technology capabilities with real-world business outcomes.</span></span></p><br><br></li></ul><br><ul><li><p><span><span>Arabic language skills are advantageous but not mandatory.</span></span></p><br><br></li></ul><br><p><u><b><span>Ideal Candidate Profile</span></b></u></p><br><br><p><span><span>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.</span></span></p><br><br><br><p><u><b><span>Why Join Qualcomm</span></b></u></p><br><br><p><span><span>At Qualcomm, you’ll work at the intersection of AI silicon, system architecture, and real</span></span><span>‑</span><span><span>world deployment. You will engage directly with strategic customers, influence next</span></span><span>‑</span><span><span>generation AI data center platforms, and help define scalable, power</span></span><span>‑</span><span><span>efficient infrastructure for the AI era. This role provides a unique opportunity to shape both technology direction and customer outcomes, while working with world</span></span><span>‑</span><span><span>class engineering and product teams.</span></span></p><br><br><br><p><b><u>What's on Offer</u></b></p><br><br><p>Apart from working with great people, we offer the below:</p><br><br><ul><li><p>Salary including housing &amp; transport allowance</p><br><br></li><li><p>Stock (RSU's) and performance related bonus</p><br><br></li><li><p>16 weeks fully paid Maternity Leave</p><br><br></li><li><p>6 weeks fully paid Paternity Leave</p><br><br></li><li><p>Employee stock purchase scheme</p><br><br></li><li><p>Child Education Allowance</p><br><br></li><li><p>Relocation and immigration support (if needed)</p><br><br></li><li><p>Life and Medical Insurance</p><br><br></li><li><p>Live+ Well Reimbursement for health and recreational membership fees</p><br><br></li></ul><br><p><u><b>Minimum Qualifications:</b></u></p><br><br>• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. <br> OR<br>Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.<br> OR<br>PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.<br>• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.<br><br><br><br><br><br><br><br><br><br><p><span>*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.</span></p><br><br><br><p><span>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&nbsp;</span><span>disability-accomodations@qualcomm.com</span><span>&nbsp;or call Qualcomm's toll-free number found&nbsp;</span>here<span>. 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).</span></p><br><br><br><br><br><p><span>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.</span></p><br><br><br><p><b>To all Staffing and Recruiting Agencies</b>: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 <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>resumes/applications.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><br><br><br><p><span>If you would like more information about this role, please contact </span>Qualcomm Careers<span>.</span></p><br><br><br> </div>