Your AI career in the UAE starts here

Job DescriptionThe AVP – Data Science will lead the development of AI/ML solutions that drive data‑driven decision‑making across customer engagement, marketing, retention, risk, and product functions. The role requires strong analytical expertise, hands‑on experience with open‑source technologies, and the ability to build interactive applications and deploy models in both batch and real‑time environments. The candidate will ensure high‑quality delivery, effective stakeholder communication, and adherence to best practices for reproducible, scalable data science.What You Will DoWork with Data Science team to translate given business problem into analytical use-cases with defined outcomes to develop, implement and test most appropriate algorithms for a given use-case.Work closely with Business Analyst for requirement gathering/understanding and work with Data Engineers to build data pipelines and automate/production Alize complex ML models to insights and recommendations.Strong conceptual understanding of machine learning algorithms including multi-variate regressions, classification algorithms, time series techniques, clustering, NLP, Image Processing, and optimization models etc.Ensure high coding standards as well as designing standards to ensure reproducibility. Drive innovation by enhancing existing solutions and designing new ones and build collaboration and awareness in the bank’s analytics community Work closely with various business units/stakeholders to identify and streamline the AI-ML use-cases.Deliver end-to-end AI-ML models from development to deployment with delivery planning, communications with stakeholders, and ensuring efficient usage of the models by the business as recommendations for improving decision touchpoints.Ensure high coding standards, peer-review, and transparency in the work with the line of reporting.Support ad-hoc requirement in terms of MIS development, building and analyzing SAS Data Models, streamlining the reporting process through various reporting and analytical tools.What We Are Looking ForOverall 7+ years of experience in analytics, data science or similar function3-4 years of experience in banking analyticsPython and SQL experience requiredWorked on end-to-end ML model deploymentMachine Learning / Deep Learning / Time-Series / Optimization and Customer AnalyticsTechnical SkillsStrong coding skills using Python. Knowledge on Retail Banking ProductsDeployment experience (various databases, server/cloud environment: AWS, Azure, and APIs, ODBCs, web apps) Excellent knowledge of Banking Functional Knowledge (major plus) Good written, oral communication, documentation skills with ability to communicate effectively with stakeholders.Expert-level proficiency in Python with SAS/R/Spark as plus What’s In It For YouPay for performance culture (Competitive and performance-linked compensation)Provision of medical care plan for your family and you.Comprehensive Life insurance plan.Diverse workforce and inclusive culture.Career development and growth opportunities by design.Work with the best minds in the field.Get opportunities to bring your whole-self to the organization and perform to your best. Be part of RAKBANK's future! Step into a role where your leadership, and strategic insights will directly shape the future of the bank. If you're ready to elevate your career with us, apply now!ResponsibilitiesPrepare asset, liability, and capital account entries by compiling and analyzing account informationDocument financial transactions by entering account informationRecommend financial actions by analyzing accounting optionsSummarize current financial status by collecting information; preparing balance sheet, profit and loss statement, and other reportsSubstantiate financial transactions by auditing documentsMaintain accounting controls by preparing and recommending policies and proceduresGuide accounting clerical staff by coordinating activities and answering questionsReconcile financial discrepancies by collecting and analyzing account informationSecure financial information by completing database backupsVerify, allocate, post, and reconcile transactionsProduce error-free accounting reports and present their resultsAnalyze financial information and summarize financial statusProvide technical support and advice on managementReview and recommend modifications to accounting systems and generally accepted accounting proceduresParticipate in financial standards setting and forecast processProvide input into department's goal-setting process Show more Show less

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 RoleThe 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 ResponsibilitiesIn 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 ExperienceThe 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.AttitudeThe 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 InformationFor a sense of work performed in the lab, explore this portfolio: https://talhanai.xyz/projects.htmlThe DivisionEngineering 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 NYUADNYU 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 ExperienceThe 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 FormatCover letter.Curriculum Vitae.Transcript of degree.Two letters of recommendation.UAE nationals are encouraged to applyThis 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.htmlFor 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 StatementFor people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdprNYU 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 Show more Show less

Position SummaryWe are currently seeking detail-oriented and intellectually curious professionals to contribute to an innovative AI development initiative. This role involves supporting a large-scale project designed to improve the performance and reasoning capabilities of advanced AI systems through supervised fine-tuning (SFT).The selected candidate will play a key role in building high-quality, human-centered training data. This includes designing thoughtful prompts, critically reviewing AI-generated responses, and refining outputs to meet high standards of clarity, coherence, and analytical rigor. The ideal individual thrives in independent work environments, enjoys problem-solving, and brings a strong command of written communication across a variety of subject areas.This is a project-based engagement suited for adaptable professionals who are comfortable navigating evolving guidelines and contributing to structured experimentation.What You’ll Be DoingAs a Research Assistant, your work will directly contribute to improving AI model performance and reasoning accuracy. Responsibilities include:Designing original prompts that span a broad range of general knowledge and interdisciplinary topics Evaluating AI-generated content for logical consistency, completeness, factual reliability, and clarity Editing and enhancing responses to better align with human reasoning and communication standards Creating multiple variations of prompts and responses by adjusting tone, complexity, formatting, and instructions Detecting areas where the model struggles (e.g., ambiguity, flawed logic, incomplete reasoning) and documenting these findings Supporting benchmarking efforts by contributing structured comparisons and qualitative assessments Ensuring consistent formatting, quality control, and adherence to project standards across all submissions Providing constructive written feedback that improves dataset cohesion and training value Your contributions will help shape how AI systems interpret instructions, reason through problems, and deliver more accurate outputs.Qualifications & BackgroundWe welcome applicants from a wide range of academic and professional backgrounds. Successful candidates typically demonstrate:At least two years of experience in research, academic work, technical or creative writing, editing, analysis, curriculum development, or related fields Exceptional written communication skills with the ability to present complex ideas in a clear, organized manner Strong analytical thinking and the ability to evaluate arguments, detect inconsistencies, and refine reasoning High attention to detail and commitment to quality standards Comfort working autonomously and adapting to evolving documentation and workflows Experience with AI writing tools, language models, or prompt engineering is advantageous but not required Candidates who are naturally curious, methodical, and comfortable working across diverse subject matter tend to excel in this role.Work Structure & Timeline100% remote and asynchronous work environment Flexible scheduling — contributors manage their own working hours Anticipated weekly commitment of approximately 10–25 hours Initial engagement period of about two weeks, with the possibility of continuation based on project needs and performance Assignments are delivered in structured batches, allowing flexibility in pacing and workload management This opportunity is ideal for professionals seeking flexible, project-based work with meaningful intellectual engagement.Engagement TermsIndependent contractor classification Weekly payments processed through approved payment platforms Performance-based incentives may be available depending on contribution quality and consistency Project duration and scope may adjust in response to operational requirements Work does not involve access to confidential or proprietary materials from any external organization Application ProcessTo Be ConsideredSubmit an updated resume outlining your relevant experience Qualified candidates can expect follow-up communication within a few business days We are looking for thoughtful contributors who are motivated to support the advancement of AI systems through careful analysis, structured experimentation, and high-quality written work. 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

Job Title: AI/ML EngineerJob SummaryWe are seeking an AI/ML Engineer with strong fundamentals in machine learning and hands-on experience in building and deploying scalable models. The role involves data preprocessing, model development, and working closely with cross-functional teams to deliver ML-driven solutions.Key RequirementsB.Tech in Computer Science / Information TechnologyStrong proficiency in Python and SQLHands-on experience with ML frameworks such as TensorFlow or PyTorchExperience in data preprocessing, feature engineering, and model trainingAbility to develop and scale machine learning models for production useKey ExperienceData preprocessing and scalable model development 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