Your AI career in the UAE starts here

SummaryThe Chief Technology Officer (CTO) is responsible for defining and executing Finance House Group’s technology vision, driving the transition to a cloud native, API driven, and AI powered banking ecosystem. The role enables digital products, scalable platforms, and data driven decision making, positioning technology as a key driver of growth, efficiency, and customer experience.Key ResponsibilitiesTechnology Strategy & ArchitectureDefine and execute FHG’s enterprise technology strategy aligned with business and product priorities. Establish scalable, secure, and modern architecture leveraging microservices, APIs, and cloud native platforms. Ensure technology capabilities support innovation, agility, and long term growth. AI, Data & Enterprise InnovationDrive the implementation of AI across IT systems, platforms, and processes, embedding intelligence wherever feasible. Enable enterprise-wide AI adoption by building robust technology architecture and infrastructure to support AI solutions teams. Establish scalable data platforms to support AI/ML, analytics, and real time decision making. Define and implement MLOps, data governance, and model lifecycle management frameworks. Partner with business and AI teams to industrialize AI use cases across customer, risk, fraud, and operations. Engineering & Digital PlatformsOversee development and evolution of digital platforms (mobile, web, lending, payments). Implement Agile, DevOps, and CI/CD practices to improve speed, quality, and reliability of delivery. Ensure systems are resilient, high performing, and scalable. Core Systems & Cloud TransformationLead modernization of legacy systems using modular, API led approaches. Drive adoption of hybrid/multi cloud infrastructure and platform engineering practices. Optimize technology stack for performance, scalability, and cost efficiency. Cybersecurity & ComplianceEstablish and enforce enterprise cybersecurity frameworks, including Zero Trust and data protection. Ensure compliance with UAE regulatory requirements and international standards. Strengthen resilience, risk management, and incident response capabilities. Ecosystem & Open BankingBuild API platforms to enable fintech partnerships and embedded finance capabilities. Support platform based models, including Banking as a Service (BaaS). Leadership & GovernanceLead and develop high performing technology, engineering, and data teams. Manage budgets, vendor ecosystem, and technology investments. Establish governance across architecture, delivery, security, and data. Strategic Technology PrioritiesEstablish a cloud native, API first technology foundation. Build enterprise data platforms enabling real time insights and decision-making. Scale AI adoption across the organization through strong IT architecture and infrastructure enablement. Enable intelligent automation and AI driven productivity tools. Advance digital platforms with embedded personalization and real-time decisioning. Expand ecosystem integrations and open banking capabilities. Strengthen cybersecurity, data protection, and regulatory alignment. Explore and implement emerging technologies such as blockchain, embedded finance, and digital identity. RequirementsProven experience in a CTO or senior technology leadership role. Strong expertise in enterprise architecture, cloud, AI/ML, and digital platforms. Experience in banking or financial services transformation. Strong business and strategic acumen with the ability to align technology with growth objectives. Excellent leadership and stakeholder management skills. Qualifications & ExperienceBachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. 15+ years of experience, including 8+ years in senior leadership roles.

Job DescriptionThe Research Assistant (RA) will work directly under the supervision of Dr. Osama Sohaib and contribute to the development and implementation of the CultureXAI framework for precision public health in the UAE. The RA will play a central role in key technical components of the project, including machine learning model development, explainable AI (XAI) implementation, open data analysis, and fairness and bias assessment across diverse population groups. The RA will be responsible for data preprocessing and integration from multiple health and demographic sources, designing and evaluating predictive models for non-communicable disease (NCD) risk, and applying XAI techniques (e.g., SHAP, LIME, counterfactual analysis) to generate interpretable and culturally-aware insights. The role also includes supporting the development of a prototype decision-support dashboard for policymakers and healthcare stakeholders. In addition, the RA will contribute to academic dissemination by assisting in the preparation of high-quality research publications (targeting Q1 journals), technical reports, and conference submissions, as well as supporting broader project dissemination activities. The position requires strong analytical, programming, and research capabilities, along with the ability to work effectively in an interdisciplinary research environment.Minimum Qualification PhD in Business Analytics, Statistics, Data Science, Machine Learning, Computer Science, or a closely related quantitative discipline. - Strong foundation in machine learning, data analysis, and statistics - Proficiency in Python (e.g., Pandas, Scikit-learn) - Experience in developing dashboards or web-based applications (e.g., Flask, Streamlit, React)Preferred Qualification PhD in Machine Learning, AI, Data Science, or a related discipline - Prior experience in healthcare analytics, public health data, or applied AI research - Familiarity with explainable AI techniques (e.g., SHAP, LIME, counterfactual methods) - Experience with advanced ML models (e.g., XGBoost, Neural Networks)Expected SkillsExperience: - 1–3 years (RA level) or 3+ years / PhD-level (Research Associate) - Experience working with real-world datasets and applied machine learning projects Technical Skill Set: - Machine learning: supervised/unsupervised learning, model evaluation, hyperparameter tuning - Explainable AI: model interpretability, feature importance, fairness and bias analysis - Programming: Python (required); familiarity with TensorFlow/PyTorch is a plus - Data handling: data cleaning, preprocessing, and multi-source data integration - Visualization: Matplotlib, Seaborn, Plotly, or dashboard tools (e.g., Streamlit, Flask) Research & Soft Skills: - Academic writing and contribution to publications - Literature review and analytical thinking - Ability to work independently and collaboratively in interdisciplinary teamsClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

Job DescriptionThe College of Information Technology (CIT), UAE University is looking to hire a faculty member in Cybersecurity and AI to further strengthen its current research programs and create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Positions: We seek a faculty candidate with strong research records in the Cybersecurity and AI areas. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidates’ Qualifications: Candidates must hold a Ph.D. degree in Cybersecurity, Computer Science or a related area based on each advertised position from a reputable university. In addition, candidates must demonstrate: An established record of discipline specific research publications in Q1 journals and top conferences. Experience writing and securing research grants Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Only short-listed candidates will be contacted for interviews. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. For more information about CIT, please visit https://www.uaeu.ac.ae/en/cit/. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), #229 in QS World University Rankings 2026, is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliberMinimum QualificationApplicants must have an earned doctorate in the applicable field. The ability to teach undergraduate courses is a must. Excellent research profile.Preferred QualificationExcellent research profileClose Date Kindly apply before the closing date.31/08/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.Perform statistical analysis and data exploration to extract meaningful insights from complex datasetsSupport the development and validation of predictive models to identify trends and patternsContribute to the development of AI/ML models and data-driven solutionsConduct exploratory data analysis to support decision-making and operational planningAssist in building and maintaining data pipelines for data collection, processing, and integrationCollaborate with data scientists, engineers, and cross-functional teams to improve data workflowsDevelop scripts and tools to automate repetitive tasks and improve efficiencySupport initiatives to enhance data quality, structure, and accessibilityApply basic experimental and analytical approaches to test ideas and evaluate outcomesContribute to improving data systems, workflows, and analytical capabilitiesAssist in identifying data gaps, inconsistencies, and opportunities for optimizationParticipate in team meetings, project discussions, and knowledge-sharing sessionsEducationBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.Required SkillsProficiency in Python, R, SQL, or similar programming languages.Experience with data visualization platforms such as Power BI or Tableau.Strong understanding of statistical techniques and modeling approaches.Foundational knowledge of AI/ML concepts and applications.Experience working with relational and/or NoSQL databases.Familiarity with cloud-based big data technologies.Ability to explain complex technical findings to non-technical audiences.Understanding of intelligence analysis processes and mission requirements.Experience working with structured and unstructured datasets in complex environments.ExperienceMinimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Job DescriptionThe mission of the research assistant is to participate intensively in research works that aim at solving Prediction modeling problems using LLM, RAG and LLM fine tuning. The candidate will be able to use Python library related to AI agent development, and LLM manipulation. In particular, the candidate should have experience with frameworks and tools like LangChain, LangGraph, LangSmith, etc. He should have a large knowledge of the spectrum of LLMs that help enhancing decision making. He/ She will be able to develop an AI agentic Application that need potentially Knowledge in LLM API, AI tools and software development. The position effective date is 15th of Jan 2026 or when the position will be filled and ends on 31st of December 2026 with the possibility of extension The salary will be determined and readjusted based on candidate’s skills evaluation and achievements.Minimum QualificationBachelor of sciencePreferred QualificationMaster of scienceExpected SkillsPython, Ai, Agentic Ai, Langchain, LangGraphClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

Job DescriptionKey Responsibilities:Accurately label and categorize large datasets, including text, audio, images, and video.Review and correct data annotations to ensure quality and consistencyWork closely with the AI and Machine Learning teams to understand project-specific guidelines.Provide feedback to improve the data annotation process.Meet daily/weekly annotation targets while maintaining high-quality standardsRequirements:Fluent in English (B2 or above).Basic computer skills and familiarity with online tools.Ability to follow detailed instructions and adapt to changing project needs.Prior experience in data annotation or related fields is a plus but not required.Experience in Data Annotation is a MUSTWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.Job DetailsRole Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.weride.ai Job Function: Information Technology (IT) Company Industry/Sector: Technology Information and InternetWhat We OfferAbout The CompanySearching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.ReportDisclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.