Your AI career in the UAE starts here

About UsTamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.Your RoleWe are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.Your ResponsibilitiesModel Deployment & ScalingProductionise risk and fraud models developed by the DS team using robust, efficient, and maintainable architecturesDesign low-latency, high-availability APIs and pipelines for real-time model inference.Implement batch scoring systems for periodic risk assessments.=MLOps & InfrastructureBuild and maintain CI/CD pipelines for model deployment and monitoring.Set up automated feature engineering pipelines, leveraging feature stores.Ensure model governance: reproducibility, versioning, auditability, and compliance with regulatory requirements.Model Monitoring & MaintenanceImplement real-time and batch monitoring for data drift, concept drift, and model performance.Build automated retraining workflows and model rollback mechanisms.Collaboration with Risk DSWork closely with risk data scientists to translate experimental code (Python, notebooks) into production-grade services.Advise DS on efficient model architectures for operational environments.Optimize feature computation for speed and scalability.System Design & IntegrationIntegrate models with credit underwriting, fraud detection, collections, and merchant risk systems.Collaborate with backend engineering to align on API contracts and system interfaces.Your Expertise6+ years of experience as an MLE, ML Engineer, Mlops Developer.Strong Python skills (including Pandas, NumPy, scikit-learn, PySpark, FastAPI/Flask).Proficiency in distributed computing frameworks (Spark, Ray) and workflow orchestration tools (Airflow, Prefect).Experience with MLOps tools (MLflow, SageMaker, Vertex AI, or similar).Strong understanding of model deployment in cloud environments (AWS/GCP/Azure).Solid knowledge of microservice architecture, containerization (Docker), and orchestration (Kubernetes).Proven track record of deploying and maintaining ML models in production at scale.Experience in building and integrating with real-time streaming systems (Kafka, Kinesis, Pub/Sub).All qualified individuals are encouraged to apply. 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

Position: Machine Learning EngineerLocation: Abu Dhabi, UAESalary - 20 K AEDPurpose:Seeking a highly proficient and innovative Machine Learning engineer to help design andimplement a cutting-edge AI platform through Machine Learning and software developmenttechniques.As a Scientist - Machine Learning, you will focus on designing, implementing, and maintainingvarious Machine Learning, Deep Learning and Reinforcement Learning algorithms. You willwork with a multidisciplinary team of smart people, including Product Managers and SoftwareDevelopers, to advance a state-of-the-art AI platform that can be applied to domains likeComputer Vision, Natural Language Processing (NLP) and Generative AI.Qualification and Skills5+ years of progressive experience in Software Engineering with a strong focus on AI andMachine Learning algorithm development.Proven track of programming in Python/Java/C++Strong knowledge of data structures and algorithmsExperience with classical computer vision techniques using OpenCV libraryStrong experience in debugging and tuning applications/ML pipelines for productionExperience with scikit-learn library (clustering, dimensionality reduction, classification, regression)Experience with deep learning frameworks (PyTorch, Tensorflow, Keras) for training and inference on the tasks like:o NLP (semantic search, topic classification, sentiment analysis, translation)o Image (object detection and recognition)o Video (objects tracking, anomaly detection)o Audio (speaker recognition, speech to text)o Time Series (anomaly detection)Experience with embedding and zero-shot learning, vector search libraries like FAISS,ScaNNProduction experience deploying, configuring, and monitoring ML pipelinesExperience working with Airflow for building ML pipelinesStrong analytical skills and ability to transform complex problems into clear, concise, andactionable solutions.Excellent communication skills, adept at collaborating within multidisciplinary teams andconveying technical concepts effectivelyPreferable: Masters or Ph.D. degree focused on MLResponsibilities:Take full ownership of end-to-end Machine Learning projects, from conceptualization to deployment.Lead the design, development, and optimization of Machine Learning, Deep Learning, andReinforcement Learning solutions for complex problem-solving in domains such as Computer Vision.Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.Fine-tune and optimize large language models (LLM’s) for specific use cases.You develop algorithms in key areas in Machine Learning.You are a team player working closely with other colleagues while maintaining a clear vision of the value of our diverse offerings.You lead the path of value-driven AI features that are innovative and deployable to real customers.Conduct research and stay abreast of the latest advancements in machine learning, NLP, and Generative AI to drive innovation and maintain competitive advantageAdditional Attributes for SuccessYou transform ambiguity into clarity.You enjoy collaborating in a multicultural and diverse environment that expands to includevarious geographic locations and spans numerous cultures.You have stellar communication skills, effectively expressing yourself. You convey andreceive information in a clear, credible, and consistent manner. Show more Show less

Join Tether and Shape the Future of Digital FinanceAt Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.Innovate with TetherTether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.But that’s just the beginning:Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.Why Join Us?Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.Are you ready to be part of the future?About the job:As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.Responsibilities:Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.Design, prototype, and scale innovative architectures to enhance model intelligence.Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.Investigate, debug, and improve both model efficiency and computational performance.Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Show more Show less

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.The Senior Technical AI Business Analyst acts as the critical bridge between business objectives and technical AI execution. This role is responsible for driving the successful delivery of AI-powered solutions by translating complex business needs into actionable technical requirements and system specifications. You will ensure that every AI initiative is aligned with ethical, regulatory, and performance standards while supporting the end-to-end lifecycle—from initial elicitation and feasibility testing with Data Scientists to User Acceptance Testing (UAT) and change management. Your goal is to ensure AI tools are not only technically sound but also practically integrated into banking workflows to drive measurable business value.Your responsibilities as the Senior Technical AI Business Analyst include:Facilitation of workshops and interviews to gather and document business requirements, translating them into clear AI specifications for data inputs and model outputsPartnering with Data Scientists and ML Engineers to validate the feasibility of AI use cases and ensure alignment with strategic business goalsDefining AI-specific test strategies, including model validation, bias detection, and performance benchmarking to ensure accuracy and fairnessDeveloping tailored training materials and user manuals to help staff understand AI confidence scores, outputs, and system limitationsIdentifying high-impact opportunities for AI-driven automation and predictive analytics within existing banking processesActing as an "analytics translator," communicating complex requirements between business units and IT while ensuring traceability throughout the project lifecycleSupporting, Coaching and Mentoring more junior members of the team, when requiredAdditional responsibilities on occasion, on management requestAs 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.RequirementsWhat we need you to have:A Bachelor's Degree in Computing, Engineering, Commerce, or Business AdministrationA minimum of 5 years of experience in professional business analysisA proven track record of supporting AI/ML project lifecycles, specifically in requirement documentation and UAT supportExperience navigating regulatory compliance and data governance within a financial services environmentProven ability to convert vague business needs into precise technical metrics and performance benchmarks for AI systemsExperience in model validation techniques and a strong understanding of how to detect anomalies or bias in AI behaviorExpertise in maintaining detailed audit trails, versioning, and decision logic documentation for AI modelsDeep understanding of data privacy regulations, ethical AI principles, and internal governance frameworksSkilled in analyzing complex workflows to find automation "hotspots" suitable for AI interventionStrong experience in stakeholder management and excellent presentation and communication skills. What we'd like you to have:Proven ability to explain "black box" AI concepts to non-technical users in a way that builds trust and promotes responsible usageFamiliarity with improving business analysis processes to support rapid, iterative AI development cyclesAbility to uncover "hidden" business needs that stakeholders may not yet realize can be solved by AIA proactive mindset regarding the monitoring of AI model behavior for ethical concerns or performance driftBenefitsBenefits & Growth Opportunities:Competitive salaryVisa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification supportOpportunity to work on cutting-edge AI projectsCareer advancement opportunities in a rapidly growing AI companyThis 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. Show more Show less

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