Your AI career in the UAE starts here

Your Work-life OpportunityAs the CPTO of Talabat, you will define the long-term strategic vision for the Middle East's leadingfood delivery and Q-commerce platform, achieving close to $10B in GMV in 2025. You will leadan organization of ~100 professionals across Product Management, Design, and Operations,and ~500 across engineering departments overseeing a product that delivers 2 million ordersdaily across 8 countries.We are looking for a visionary leader who can drive talabat toward a more innovative and agileorganization, building dedicated "0 to 1" product innovation labs to explore new business hubswhile scaling our core market leadership.Job DescriptionWhat You Will Do : Strategic Vision & GrowthDrive the product strategy for a $10B GMV ecosystem, shaping the right AI nativeapproach to multi verticalityDefine "moonshot" objectives that change the game, setting the agenda for strategicgrowth and long-term viability.Act as a growth catalyst, translating Board strategy into actionable priorities(OKRs/KPIs) and arbitrating resource conflicts to maximize impact.0-to-1 Innovation & Execution Institutionalize Disruption: You won't just launch features; you will build the "TalabatLabs" engine, with dedicated resources to launch standalone verticals that could one dayrival our core food business.Design structures for speed, enabling rapid experimentation at scale and drivingdecision-making in the face of uncertainty and constant evolution.Executive Stewardship & CultureGlobal Impact: As the leader of Delivery Hero’s largest entity, you will serve as a keyvoice in the global product council, exporting MENA’s innovations to markets in Europe,Asia, and Latin AmericaEnsure psychological safety, ensuring all voices within the broader 500-person tech andproduct organization have the potential to influence strategy.Communicate a positive vision, acting as a catalyst for organizational energy, leadingthe changes that will shape our futureWhat We Are Looking ForDeep Marketplace ExpertiseEcosystem Mastery: Deep understanding of the entire on-demand delivery,Q-commerce, and fintech ecosystem.Data Skepticism: A mindset that goes beyond averages, challenging fundamentalbusiness models and North Star metrics as the industry evolves.Structural Problem Solving: Ability to roll up your sleeves and engage at every level toresolve large-scale structural changes and new technologies adaptation.Design thinker: A big passion for the customer and obsession for UX/UIStrategic Leadership & HumilityProductive Dissent: A commitment to promoting rigorous debate at the top to ensureevery strategic decision is stress-tested.Learning Mindset: A rejection of entitlement and an ego-free approach to challengingyour own opinions .Lean Operations: A commitment to operating with lean teams and taking decisions thatfavor the business over individual or team interests.QualificationsQualifications & Experience Required15+ years of product leadership with experience in a global, product-first organization,with a proven track record in a global marketplace or high-scale food tech company.Demonstrated Entrepreneurial Success, specifically the proven ability to build and scale"0 to 1" products within a large-scale corporate environment.Exceptional Leadership Depth, including extensive experience managing senior "leadersof leaders" (M3 level) across multi-country footprints.Proven Technical Acumen, capable of partnering with engineering to drive the evolutionof machine learning and GenAI initiatives.Strategic Business Sense, with experience managing P&L and aligning productroadmaps with aggressive revenue and growth targets. Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role:Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute. You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.  Responsibilities:Analysis of new models from generative AI field and understanding of impacts on compilation stackDevelop and maintain model definition framework that consists of model building blocks to represent large language models based on PyTorch and Cerebras dialects ready to be deployed on Cerebras hardware.Develop and maintain the frontend compiler infrastructure that ingests PyTorch models and produces an intermediate representation (IR).Extend and optimize PyTorch FX / TorchScript / TorchDynamo-based tooling for graph capture, transformation, and analysis.Collaboration with other teams throughout feature implementationResearch on new methods for model optimization to improve Cerebras inference Qualifications:Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional abilityStrong Python programming skills and in-depth experience with PyTorch internals (e.g., TorchScript, FX, or Dynamo).Solid understanding of computational graphs, tensor operations, and model tracing.Experience building or extending compilers, interpreters, or ML graph optimization frameworks.Experience working with PyTorch and HuggingFace Transformers libraryKnowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)Strong C++ programming skills.Knowledge of MLIR based compilation stackPreferred QualificationsPrior experience contributing to PyTorch, TensorFlow XLA, TVM, ONNX RT, or similar compiler stacks.Knowledge of hardware accelerators, quantization, or runtime scheduling.Experience with multi-target inference compilation (e.g., CPU, GPU, custom ASICs).Understanding of numerical precision trade-offs and operator lowering.Contributions to open-source ML compiler projects.    Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2026.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice. Show more Show less

Job DescriptionA research assistant position in Machine Learning Edge Accelerators is available in the Departments of Electrical and Communication Engineering, United Arab Emirates University, UAE. The RA candidate will develop an embedded system for on-device using machine learning (ML) capabilities. The RA will design, implement, and test innovative ML edge hardware accelerators within the stringent power, footprint, processing, and storage constraints.Minimum Qualification Applicants must hold a BSc. degree or equivalent degree in electrical engineering, computer engineering. - Applicants must have prior experience in machine learning, embedded systems, and edge devices.Preferred Qualification Experience in machine learning, embedded systems, and edge devices. - Prior publications in machine learning, embedded systems, and edge devices.Special Instructions to ApplicantSubmit a detailed CVClose Date Kindly apply before the closing date.01/05/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less

We are looking for a skilled AI Developer with strong Python expertise to design, develop, and deploy AI/ML solutions that solve real-world business problems. The role involves working with data, building models, optimizing algorithms, and integrating AI capabilities into applications and platforms.Key ResponsibilitiesDevelop, train, test, and deploy machine learning and AI models.Write efficient, scalable Python code for data processing, model development, and automation.Work with large datasets for data cleaning, feature engineering, and analysis.Design and implement NLP, computer vision, or predictive analytics solutions as required.Integrate AI models into production systems using APIs or microservices.Optimize model performance, accuracy, and scalability.Collaborate with data engineers, software developers, and business stakeholders.Monitor models in production and retrain as needed.Document technical designs, workflows, and model performance metrics.Required SkillsStrong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.Solid understanding of machine learning algorithms, statistics, and data structures.Experience with REST APIs, Git, and version control.Knowledge of data preprocessing, visualization, and model evaluation techniques.Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.Strong problem-solving and analytical skills.Preferred QualificationsExperience with deep learning, NLP, or generative AI frameworks.Exposure to MLOps tools, Docker, or Kubernetes.Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. Show more Show less

As a Full-Stack + AI Engineer, you’ll own verticals from UI to backend to AI pipelines. You’ll be at the core of how users talk to BOTty, get suggestions, and trust automation. Frontend Desktop/Cloud/AR mobile interface for fallback control Secure web portal for automation editing, logs, and remote access Explainability UI: “Why did BOTty do this?” Backend Local-first backend for event logs, ZeroConf device discovery, and API routing Authenticated SSL tunnel gateway (no cloud relay)Real-time routines, preferences, and presence tracking AI & Automation Build and fine-tune agentic routines (Learn → Observe → Adapt → React) On-device ML for micropatterns, low-latency NLU, and safety checks Personalization ledger, feedback loops, and bandit-style decision tuning Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Requirements Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Have built and shipped agentic AI apps, ML-driven products, or full-stack SaaS Love debugging both frontend microinteractions and low-level sensor events Are comfortable working on hardware like Jetson/RPi, or eager to learn Enjoy working across disciplines — AI, UX, home automation, privacy Can take vague product ideas and make them real, fast Bonus if You… Won or placed in hackathons Built your own SaaS product(s) or dev tools Know Zigbee, BLE, Matter, or embedded Linux Have contributed to open-source AI or Web3 projects Enjoy voice UX, reactive UI, or agent architectures Benefits Competitive compensation + equity Work directly with founding team on product 0 → 1 Build something with lasting impact, privacy-first Fast-paced, respectful, async-friendly team culture Show more Show less