TensorFlow Jobs in UAE 2026 | Latest Tanqeeb Jobs

Bayt

Sr. Data Scientist (AI & ML)

On-site - UAE 14 August 2026

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.   We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.   Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. Job Description As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. As a Sr. Data Scientist (AI & ML) on the global AI hub, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle,  from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale. Responsibilities <ul><li>Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria. </li><li>Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices. </li><li>Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring. </li><li>Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale. </li><li>Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value. </li><li>Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems. </li><li>Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus. </li><li>Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact. </li><li>Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling. </li><li>Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations. </li><li>Mentoring other data scientists in their growth journeys. </li><li>Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs. </li></ul> Qualifications Technical Experience <ul><li>Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining. </li><li>Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning). </li><li>Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design. </li><li>Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices. </li><li>Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering. </li><li>Excellent SQL and competence with reproducible analysis and modeling in Python. </li><li>Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods. </li><li>Familiarity with data modeling and dimensional design. </li><li>Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation. </li><li>Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.). </li><li>Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus. </li><li>Familiarity with BigQuery and the Google Cloud Platform is a plus. </li></ul>Qualifications <ul><li>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required. </li><li>5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production. </li><li>Experience building ML systems in an online consumer product setting is a plus. </li><li>A good problem solver with a 'figure it out' growth mindset. </li><li>An excellent collaborator. </li><li>An excellent communicator. </li><li>A strong sense of ownership and accountability. </li><li>A 'keep it simple' approach to #makeithappen. </li></ul> </div>

Bayt

AI Engineer

On-site - UAE Saturday

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> GenAI & Agentic AI Development : <ul><li>Design, develop, and deploy production-grade GenAI solutions using advanced LLMs such as OpenAI models. </li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured enterprise data. </li><li>Design hybrid search architectures combining Vector DBs and Graph DBs such as Azure AI Search, Neo4j, and Databricks Vector Search. </li><li>Develop reusable AI components and frameworks that can be leveraged across multiple enterprise AI use cases. </li><li>Build Agentic AI workflows using frameworks such as LangChain, LangGraph, and Haystack, including: </li></ul><ol><li>Multi-agent orchestration including planner, retriever, evaluator, and executor agents. </li><li>Tool calling, function execution, and system-to-system automation. </li><li>Short-term, long-term, and session-based memory management. </li></ol>Data Validation & Quality <ul><li>Perform end-to-end data validation before data is consumed by AI, ML, analytics, and decision-intelligence applications. </li><li>Validate data completeness, accuracy, consistency, freshness, aggregations, calculations, and business-rule alignment across source systems and downstream applications. </li><li>Work with business and data teams to validate KPIs, calculations, business rules, AI-generated insights, and recommendations before production release. </li><li>Develop automated data-quality checks, validation frameworks, anomaly detection, and reconciliation processes. </li><li>Identify data-quality issues and coordinate with Data Engineering and relevant teams for resolution. </li><li>Ensure AI-generated insights and recommendations are based on validated and trusted enterprise data.</li></ul>Full-Stack AI & React Application Development <ul><li>Take hands-on ownership of end-to-end AI application development, from AI/ML services and APIs through user-facing applications. </li><li>Design and develop modern, responsive react-based web applications for AI, analytics, and decision-intelligence use cases. </li><li>Build interactive interfaces for AI insights, recommendations, conversational experiences, dashboards, visualizations, and actionable workflows. </li><li>Integrate React applications with AI/ML services, enterprise APIs, data platforms, authentication services, and backend systems. </li><li>Develop scalable backend services and APIs using Python and relevant API frameworks. </li><li>Ensure frontend and backend applications meet enterprise requirements for performance, security, scalability, usability, and maintainability. </li></ul>Individual Contribution & Offshore Team Coordination <ul><li>Spend approximately 90% of the role as a hands-on Individual Contributor, directly involved in architecture, coding, development, debugging, testing, optimization, deployment, and production support. </li><li>Allocate approximately 10% of the role to coordinating and reviewing technical tasks delivered by the offshore team. </li><li>Review offshore team deliverables to ensure alignment with requirements, solution design, coding standards, and expected quality. </li><li>Perform code reviews, technical reviews, and functional validation of assigned offshore deliverables. </li><li>Provide clarification on technical requirements and tasks where required to support offshore delivery. </li><li>Track assigned technical tasks and highlight dependencies, quality issues, or delivery risks. </li><li>Work collaboratively with offshore AI Engineers, Data Engineers, Data Scientists, and Frontend Developers on integrated solution delivery. </li><li>Remain directly accountable for assigned hands-on development activities while supporting the quality and integration of offshore deliverables. </li></ul>Enterprise Integration & Cloud Engineering <ul><li>Develop and integrate AI-powered applications, chatbots, and agents within the Azure ecosystem. </li><li>Integrate AI solutions with enterprise systems using APIs, event-driven architectures, and message brokers. </li><li>Build secure and scalable services leveraging Azure App Services, Azure Functions, AKS, Azure Cache for Redis, and related services. </li><li>Integrate applications with enterprise identity and access-management frameworks including authentication, authorization, RBAC, and data-level security. </li><li>Work closely with Cloud, Digital, Data Engineering, Architecture, Security, and Business teams for end-to-end solution delivery. </li></ul>Production Readiness, MLOps & LLMOps <ul><li>Implement guardrails for hallucination control, data privacy, security, responsible AI, and output validation. </li><li>Ensure enterprise-grade governance including access control, auditability, monitoring, and compliance. </li><li>Monitor production performance across availability, latency, accuracy, reliability, and scalability. </li><li>Apply MLOps / LLMOps best practices across the lifecycle, including: </li></ul><ol><li>Model and version management. </li><li>Prompt versioning and rollback. </li><li>CI/CD pipelines for AI applications. </li><li>Automated prompt, retrieval, API, and regression testing. </li><li>Monitoring, logging, tracing, and observability. </li></ol>Performance Optimization & Continuous Improvement <ul><li>Analyze AI application and agent performance using metrics such as accuracy, response quality, latency, adoption, and task completion. </li><li>Optimize prompts, retrieval strategies, agent flows, APIs, database queries, and application performance based on actual usage. </li><li>Identify and resolve performance bottlenecks across data, AI, backend, database, and frontend layers. </li><li>Drive continuous improvement through experimentation, evaluation, monitoring, and user feedback. </li></ul> Requirements<ul><li>Strong hands-on understanding of LLMs, transformers, embedding, prompt engineering, context engineering, RAG, and evaluation techniques. </li><li>Experience building end-to-end GenAI and Agentic AI products from development through production deployment. </li><li>Hands-on experience with LangChain, LangGraph, Haystack, n8n, and Microsoft Copilot ecosystem or similar frameworks. </li><li>Practical experience designing multi-agent architectures and orchestrating reasoning, retrieval, tools, and actions. </li><li>Strong experience with Vector and Graph Databases, including Azure AI Search, Neo4j, and Databricks Vector Search. </li><li>Proven experience implementing RAG pipelines using structured and unstructured enterprise data. </li><li>Strong experience with data validation, data-quality checks, reconciliation, KPI validation, and business-rule validation. </li><li>Strong proficiency in Python, SQL, and Spark & Hands-on experience developing React / JavaScript / TypeScript applications. </li><li>Experience developing APIs and backend services using FastAPI, Flask, or equivalent frameworks </li><li>Hands-on experience with PyTorch and/or TensorFlow. </li><li>Experience working with large-scale AI/ML systems in production environments. </li><li>Experience reviewing code and technical deliverables from distributed/offshore development teams. </li><li>Strong problem-solving skills across AI, data, backend, frontend, and enterprise system integration. </li></ul>Azure & Data Platform Experience Hands-on experience with relevant Azure and enterprise data technologies, including: <ul><li>Azure OpenAI </li><li>Azure Data Factory (ADF) </li><li>Azure Databricks </li><li>Azure AI Search </li><li>Databricks Genie </li><li>Azure AI Document Intelligence </li><li>Azure App Services </li><li>Azure Functions </li><li>Azure Kubernetes Service (AKS) </li><li>Azure Cache for Redis </li><li>Azure Bot Service / Bot Framework </li><li>API Management </li><li>Microsoft Entra ID / Azure AD </li><li>CI/CD and DevOps tooling </li></ul> </div>

0 to 0 years Bayt

Senior AI Engineer

On-site - UAE 3 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking. You will act as a technical pillar within the AI squad—collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges. Key ResponsibilitiesGenerative & Agentic AI Engineering Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution. Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies. Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior. Deep Learning & Model Optimization Core Modeling & Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains. Open-Source & Cloud Integration: Evaluate and deploy both proprietary cloud models (e. g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost. Edge & Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX. Data & MLOps Infrastructure Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data. Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores. Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions. Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions. We need you to have: A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments. Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV). Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models. AI, Modeling & Frameworks Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models. Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks. A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime. High proficiency in configuring and querying Vector Databases (e. g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures. Software Engineering & Core Tools Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture. Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e. g., Pandas, NumPy, Polars, or PySpark) It would also be great if you had: An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field. Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e. g., familiarity with data privacy, compliance, and secure financial data models). Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction. </div>

Bayt

Forward Deployed AI Engineer

On-site - UAE 5 August 2026

Information Technology

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

Bayt

Senior Data Scientist

On-site - UAE 8 August 2026

Media & Journalism

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

Bayt

Senior Data Scientist

On-site - UAE 5 August 2026

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business-critical problems. Embedded directly within customer environments and fast-moving delivery teams, you translate strategic and operational challenges into rigorous analytical solutions at speed. You work closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value. You are accountable for the quality, impact, and delivery of complex analytical initiatives — acting as a subject-matter expert, managing ambiguity, and ensuring data-driven solutions are robust, reliable, and aligned with business objectives. In this role, you will: <ul> <li> Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights. </li> </ul> <ul> <li> Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions to solve complex business problems. </li> </ul> <ul> <li> Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning. </li> </ul> <ul> <li> Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness. </li> </ul> <ul> <li> Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers. </li> </ul> <ul> <li> Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate. </li> </ul> <ul> <li> Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise. </li> </ul> <ul> <li> Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context — co-developing impactful data and AI-driven solutions. </li> </ul> What you bring: <ul> <li> Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions. </li> </ul> <ul> <li> Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost. </li> </ul> <ul> <li> Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation. </li> </ul> <ul> <li> Proven experience applying a wide range of ML techniques — classification, forecasting, clustering, recommendation systems, anomaly detection — balancing accuracy, robustness, interpretability, and usability at scale. </li> </ul> <ul> <li> Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions. </li> </ul> <ul> <li> Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability. </li> </ul> <ul> <li> Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services. </li> </ul> <ul> <li> Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes. </li> </ul> <ul> <li> Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights. </li> </ul> <ul> <li> You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration. </li> </ul> Where you belong: You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We bring together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate and lead in their markets. We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy — not just produce analysis. This is a place for people who enjoy building something meaningful. You will thrive here if you are intellectually curious, customer-centric, and energized by the opportunity to drive real-world outcomes in a fast-evolving AI landscape. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 457244  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid </div>

Full Time 0 to 0 years

Research Assistant

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

Education & Training

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

0 to 0 years Bayt

Junior Research Scientist

On-site - UAE 24 July 2026

Research & Development

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The eBRAIN Lab (https://ebrain4everyone.com) in the Division of Engineering at New York University Abu Dhabi invites applications for a Junior Research Scientist position with a a Bachelor's or Master’s degree with less than 5 years of experience to work in the area of research and development (R&D) of next-generation Edge-AI and Embodied-AI Systems with tiny-LLMs, tiny-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be on investigating novel methods and their full-system deployment in real-world applications from different fields (like autonomous systems, healthcare, and robotics) with cross-validation. Prof. Shafique’s lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable assistive cognitive technologies that care for / serve humanity and the ecosystem in a safe and green way. The successful applicants will join and drive a number of fascinating projects on designing, implementing, optimizing, prototyping and testing innovative solutions (software, hardware, or both) for the next-generation embodied-AI, GenAI and Agentic-AI systems, targeting high performance & energy-efficiency, robustness, and trustworthiness. A key focus will be on full-system prototyping, IP generation, patenting, and participating in high-quality publications with other lead researchers of the lab. A special focus will be on highly efficient implementations and prototyping for real-world use-cases, and building TRL-4/5 prototypes and actively optimizing the engineered solutions. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists, research engineers, graduate research students and undergraduate students, to investigate cutting-edge scientific methods and to develop full-system prototypes. The eBRAIN lab offers an excellent working environment with an international team of excellent researchers and engineers, high-tech equipment, and active R&D engagement, thereby providing many development possibilities. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators. Requirements: Applicants should have a Bachelors or Masters in Computer Engineering, Computer Science, Electrical Engineering, or a related field. Extensive and sound knowledge of Robotics, ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic frameworks, tinyML, ML frameworks (like PyTorch and Tensorflow), and Prototyping ML systems is required. The candidate should demonstrate a solid experience in practical AI/ML system development, hands-on engineering works on these intelligent systems, and system-level optimizations. Additional knowledge on MLOps, robust/secure computing, Hallucinations and Alignment, privacy-preserving ML, and ML security is highly desirable. Applicants with strong industrial experience, engineering experience, and/or with publications in top ML venues (conferences and journals) are highly preferred. The candidates are also expected to have strong problem-solving, analytical, communication and writing skills as well as high motivation to pursue world-class development, prototyping, and research for practical ML/AI systems. Application Procedure: The terms of employment for these positions include very competitive salary with additional attractive benefits, including generous housing allowance, medical insurance with access to world class facilities, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, etc. and will have access to excellent world-class research facilities. The preferred starting date is October 2026, based on the processing steps. Applications will be accepted immediately and candidates will be considered until the position is filled. Review of applications will start on 03 Aug 2026, and will continue until the position is filled. To be considered, all applicants must submit the following documents, all in PDF format. 1. A cover letter 2. Detailed curriculum vitae (CV) with engineering and programming skills, R&D skillset 3. Full list of professional/industrial experience and scientific publications (if any) 4. University degrees and transcripts (with grades), or a letter from supervisor/university officials regarding tentative completion date. 5. 1-page executive summaries of BS and/or MS Theses 6. 1-page summary of professional experience, future growth plans 7. 1-page of Engineering and/or R&D accomplishments and interests 8. 1-page letter of Motivation 9. At least 2 letters of recommendation with contact information of the referees (can be provided later, if slightly more time is required) 10. An envisioned workplan over 2 years (can be provided after shortlisting) 11. Download links for the PDFs of BS and/or MS Theses (if available) Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. If you have any questions, please email Prof. Muhammad Shafique at muhammad.shafique@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD </div>

Full Time 0 to 0 years LinkedIn

Member of Technical Staff - Enterprise AI (Remote)

Remote - UAE - Dubai 9 hours ago

Information Technology

Role: EMember of Technical Staff - Enterprise AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $500K/yr Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure. Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures. Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as Tensor Flow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges. More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions. Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Full Time 0 to 0 years LinkedIn

Technical Recruiter

Remote - UAE - Dubai 9 hours ago

Information Technology

Role: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions. Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes. More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

TensorFlow Jobs in UAE

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