Your AI career in the UAE starts here

EXO ARNVIND is exclusively scouting for a high-impact Head of AI Engineering for a major retail powerhouses in the UAE.Our clients is undergoing an ambitious, board-sponsored digital transformation to become "AI-first" enterprises. This is not a maintenance role; it is a mandate to build the organization’s "digital nervous system" from the ground up, with significant investment and executive-level backing.The RoleAs the Head of AI Engineering, you will own the long-term AI roadmap for the next decade. You are the bridge between visionary strategy and deep technical execution across retail, supply chain, and digital commerce.Strategic Leadership: Set and execute the enterprise-wide Data & AI strategy, identifying high-value use cases that drive measurable ROI.Full-Stack Build: Architect and scale the entire AI environment—from GPUs and Lakehouses to MLOps, Vector Databases, and SLMs.Innovation Engine: Lead cross-functional teams to build prototypes and move breakthrough solutions from concept to enterprise-wide adoption.Responsible AI: Establish governance frameworks for responsible AI usage and lead enterprise-wide upskilling initiatives.Operational Excellence: Deploy automation and advanced analytics across finance, customer experience, and physical logistics.Profile RequirementsWe are looking for a heavyweight leader with a "builder" mindset and a track record of scaling AI in complex environments.Experience: Minimum 12+ years in Data, AI, and Machine Learning, with proven success leading enterprise-scale programs.Deep Tech Stack: End-to-end expertise in AI lifecycle management, GenAI, retrieval systems, and domain-specific LLMs/SLMs.Innovation Background: Experience with AI product development, patents, or startup environments is highly valued.Physical AI: Demonstrated work in Robotics or Physical AI integration is a significant advantage given the retail/supply chain focus.Leadership: Ability to partner with C-suite executives to drive cultural and technological transformation.What’s in it for you?This is a high-visibility role in one of the world's fastest-growing tech hubs. 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 RoleDeep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with advanced LLMs, developing solutions that have a tangible impact on millions of customers around the world.We're looking for a Deep Learning Engineer to collaborate closely in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions, while striving for continuous improvement.Up to shape the future of Revolut’s AI-driven capabilities? Let's get in touch.What You'll Be DoingBuilding AI voice products from the ground up, including voice assistants, AI-powered call centre agents, AI-driven outbound sales agents, and moreDeveloping real-time, user-facing features powered by LLMs and deep learning modelsDelivering scalable, production-grade AI solutions that support millions of customersCollaborating across teams (Product, Engineering, Data, Ops) to integrate advanced AI in meaningful waysExperimenting and iterating on advanced voice and NLP systemsWhat You'll NeedProduction experience in deep learning within natural language processing and voice technologiesA 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 disciplineExpertise with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympiad 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

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. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.We’re looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.Up to shape what's next in finance? Let's get in touch.What You'll Be DoingUnderstanding our business and its processes through our dataApplying this understanding and knowledge of data to help product and services teamsDesigning key metrics to measure different aspects of the businessCreating and maintaining new aggregated views and tables to simplify data queryingMaintaining and creating new dashboards to track metrics and visualise insightsPromoting data literacy across the company, organising and holding workshopsWhat You'll NeedExperience in an analytical role creating impactful solutionsA background/education in a quantitative disciplineGreat skills with Python, SQL or other programming languagesEvidence of solid mathematical and statistics knowledgeExperience in the financial services/banking industryNice to haveAn advanced degree in a core STEM subjectExpertise with additional programming languages (Java, Scala, C++, etc.)Experience in accountingBuilding 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

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

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