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

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

About UsWe’re building the world’s leading cross-border fintech for emerging markets - empowering families, fueling local economies, and changing how millions access financial services.Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.Here’s a Little MoreFounded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and moreBuilt by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our missionTruly global team - 250+ people, 50+ nationalities, 50+ languagesGuided by our values - ownership, impact, humility, and heart - in deed, not just wordAbout The RoleTapTap Send is looking for someone to fundamentally change how the company works with AI. This isn't a product role - it's an operational transformation role. You'll work directly with the CEO and founding team to identify high-leverage opportunities across every function, build the bots and agents that capture them, and drive adoption until AI-augmented work becomes the default, not the exception.We have 50+ people across research, data, operations, compliance, growth, and finance. Most workflows still run on human effort and manual processes. The right person will see that as a massive opportunity - not to replace people, but to make them dramatically more effective.What You'll DoAudit every team and function to map where AI agents, bots, and copilots can eliminate toil, accelerate decisions, or improve output qualityBuild and deploy AI agents; from internal Slack bots and document processors to research copilots and automated QA pipelines - using the best available tools (Claude, GPT, open-source models, custom fine-tunes)Own the full stack: scoping, prototyping, building, deploying, measuring impact, iterating. You ship, you don't just adviseDesign and run an internal AI adoption programme - training, templates, prompt libraries, office hours; that gets every team using AI tools confidently within their workflowsWork with the CEO to set quarterly AI transformation targets and report progress against them. This role has board-level visibilityEvaluate and integrate third-party AI tooling (coding assistants, meeting summarizers, analytics copilots, etc.) and negotiate vendor relationships where neededBuild the connective tissue between teams: shared knowledge bases, RAG systems over internal docs, automated reporting, and cross-functional agent workflowsStay relentlessly current on the frontier; new models, new capabilities, new patterns and translate that into practical internal applications within days, not monthsRequirementsDeep hands-on experience building AI-powered tools and agents: not just using ChatGPT, but architecting multi-step pipelines, RAG systems, and autonomous workflowsStrong engineering fundamentals: you can write production code, set up infrastructure, and debug at 2am if needed. Python is table stakes; experience with LLM APIs, vector databases, and orchestration frameworks (LangChain, CrewAI, etc.) is expectedA bias for speed and pragmatism over perfection: You'd rather ship a working bot in a week than spec a platform for six monthsExceptional communication skills: you'll need to sell AI adoption to skeptical teams, train non-technical users, and present to the boardExperience working in a fast-moving startup or scale-up environment, ideally fintech or financial servicesA genuine obsession with AI and what it can do: You follow the space daily, you've built side projects, you have strong opinions on which models are best for which tasksComfort with ambiguity and a self-starting mentality. This role doesn't have a playbook - you'll write itNice to HaveExperience leading or managing a small team (this role may grow into a team lead)Background in data science, ML engineering, or quantitative researchFamiliarity with compliance and regulatory environments - understanding what can and can't be automated in financial servicesExperience with MCP (Model Context Protocol), agent-to-agent communication, or building tools that plug into existing SaaS platformsPrior experience at a remittance, payments, or neobank companyTaptap Values Impact firstTeam nextAccept realityPropose solutionsWin with gritBe proactively candid, with yourself and othersLove the particularOwn itCreate positive energyMaybe, even have funTaptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply. Show more Show less

As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.If you possess all or most of the following, we would love to explore what is available for you with our team:Earned or will earn a Master's or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.Ability to generate impactful research in academic or professional pursuits.Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.Interest and enthusiasm for learning about financial markets (previous experience not required).At Vatic, we're serious about our work—but we also believe in balance, growth, and having fun along the way. Here's what you can expect:Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.Comprehensive health benefits – Full health insurance coverage for employees and dependents.Daily meals provided – Enjoy free lunch at the office. 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

Job DescriptionThe United Arab Emirates University (UAEU) invites applications for a faculty position in the Department of Electrical and Communication Engineering. Qualified candidates at all academic ranks will be considered, with appointment level commensurate with experience, research record, and academic achievements. The successful candidate is expected to: Demonstrate a strong commitment to teaching excellence and student advising at both undergraduate and graduate levels. Establish and sustain an active, externally and/or internally funded research program in their area of expertise. Publish research findings in high-quality refereed journals and present at reputable conferences. Contribute to curriculum development, program accreditation, and continuous improvement activities. Engage actively in departmental, college, and university service and help promote the growth and visibility of UAEU.Minimum QualificationA Ph.D. in Electrical Engineering, Communication Engineering, or a closely related field from an accredited institution. A record of scholarly research with publications in recognized international journals. Demonstrated excellence in teaching and mentoring students. Excellent communication skills in English, which is the language of instruction at UAEU.Preferred QualificationPrior university-level teaching experience. Prior industrial experience or startup in a related technological field. A record of successful research grant acquisition or evidence of potential to secure research funding. Expertise in one or more of the following areas (but not limited to): Wireless communications and networks Signal processing Electromagnetics and antennas Embedded systems and IoT Power and energy systems Machine learning applications in electrical engineering Electronic engineering Computer engineeringClose Date Kindly apply before the closing date.22/10/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less