AI Jobs in Abu Dhabi

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 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 DescriptionThe College of Information Technology (CIT) is looking to hire an assistant professor in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research record in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML in a wide range of fields including Smart Health Systems, Cloud Computing, Business Intelligence and Decision Support Systems. 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. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. 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. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/search.jsp (postings under CIT). The instructions to complete an application are available on the website. A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; 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) ranked 229 in QS, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU 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 caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. 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.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teaching.Close Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

Job DescriptionThe College of Information Technology (CIT) is looking to hire a faculty member in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research records in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML/Computer Vision in a wide range of fields including Smart Health Systems, Health Informatics, Cloud Computing, Robotics, Business Intelligence, Agriculture, and Decision Support Systems. 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. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. 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. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; 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), ranked 229 in global QS ranking, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU 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 caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. 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.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teachingClose Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting 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

About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You WillInnovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If YouHold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.This is a hybrid role that can be based in either our Abu Dhabi or Doha office

DescriptionMohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.About MBZUAI – A Global Leader in AI Research and EducationMBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutionsFunding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.Exceptional Benefits:Comprehensive health & life insuranceRelocation support for international facultyState-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computingLive in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenitiesIndustry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakersQualificationsThis position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.Application InstructionsTo Apply For This Position, Please Submit The FollowingCover letterCurriculum VitaeStatement of research vision and interestsStatement of teaching philosophy and experienceList of publicationsReference letters or the names and contact details for three referees (where referee details are provided, each referee will be contact to upload their reference letters via Interfolio)MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.Be a part of AI’s future – apply today at MBZUAI!#MBZUAI #careeropportunities #AIEqual Employment Opportunity StatementMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Job DescriptionThe Computer Science and Software Engineering Department at UAE University is seeking a Research Assistant to contribute to a funded research project in the area of Arabic AI storytelling, Natural Language Processing (NLP), Machine Learning, and Generative AI. The successful candidate will work on the “Hakawati” project, which focuses on developing an interactive AI system for generating and narrating Arabic stories for children (ages 5–12). The role includes participation in research activities such as reading, analysis, and writing research papers. Additionally, the candidate will work on Arabic language data processing, training and evaluating deep learning models for story generation, and integrating multimodal components such as text-to-speech and image generation. The position may also involve parameter tuning, model calibration, and system testing.Minimum Qualification BS or MS in Computer Science, or related fields 2. Strong background in Machine Learning, NLP, and AI 3. Proficiency in Python 4. Ability to work independently and collaboratively in a research environment 5. Excellent communication and organizational skillsPreferred Qualification Master’s degree in Computer Science or related field 2. Experience with Arabic NLP or Arabic language technologies 3. Familiarity with large language models (LLMs), generative AI, or deep learning 4. Experience in data collection, processing, and dataset construction 5. Publications or conference presentations in relevant research areasClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

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.Additional Program InformationUAE 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.htmlKawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.For 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)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

Job Title: AI Content Evaluation SpecialistJob Type: ContractorLocation: Remote (US/Canada/LATAM)Job SummaryJoin our customer's team as an AI Content Evaluation Specialist and play a vital role in ensuring AI-generated content aligns with community guidelines and safety standards. This expert-level position offers the opportunity to influence how advanced AI systems interpret and interact with online content while working remotely with a diverse team.Key ResponsibilitiesAssess and moderate AI-generated images and text for compliance with safety and content guidelines.Identify, flag, and report potentially harmful or inappropriate materials across various platforms.Collaborate with cross-functional teams to refine content evaluation procedures and ensure continuous improvement.Analyze emerging trends in social media and user-generated content to inform evaluation protocols.Document findings and provide clear, actionable feedback to development teams.Stay updated on the latest advancements in AI, content moderation, and digital safety practices.Contribute to the development and maintenance of internal best practices and knowledge bases.Required Skills And QualificationsProven experience in content moderation, digital safety evaluation, or a related field.Strong social media literacy with a keen awareness of community guidelines and platform-specific standards.Advanced skills in analyzing both visual and textual content for compliance and safety risks.Exceptional written and verbal English communication skills, with meticulous attention to detail.Ability to provide clear, concise, and constructive feedback.Comfort working independently and as part of a remote, collaborative team.Excellent critical thinking and problem-solving abilities.Preferred QualificationsExperience working with AI or machine learning-driven content moderation tools.Background in psychology, communications, or a related discipline.Demonstrated passion for digital safety and ethical content evaluation.

Head of AI Digital Innovation & AI Transformation Abu Dhabi, UAE (On-site)Permanent position We are looking for a Head of AI to play a critical role in an end‑to‑end digital and AI transformation and scaling AI at enterprise level for a well-known organization in Abu Dhabi.Expectations:13 years+ experienceDigital & AI Strategy and transformation ownershipControl architecture, security, data, and governanceBusiness stakeholder leadershipOwn the AI target operating modelAI & vendor partnership managementBackground requirementsApplications and software developmentAI influentialLead, manage, growTeamReport into CTOYou will adopt a team of 4 managers as direct reports (+ grow this team)Package:Salary, visa & medical for family, schooling allowance x 3, flight allowance and relocation assistance for those abroad.**Due to the high volume of applications, only applicants with the above skillset will be contacted**

🚀Associate Director of Product 🏥 Healthcare Intelligent Solutions📍 Based in Abu Dhabi ( Relocation Provided!) 💰 AED 48,000 - 50,000 + Benefits Imagine sitting at the intersection of AI and healthcare - shaping products that reach real patients in the UAE. That's exactly what this role is.Reporting to the Director of Product, this AD of Product will collaborate with product managers, engineering, and analytics teams to deliver innovative data-driven solutions that care smarter, faster, and more human. You'll translate data into strategy, ambiguity into roadmaps, and ideas into measurable impact.Role ResponsibilitiesCo-own the AI product roadmap, from vision to launchChampion AI and ML, including NLP and computer vision, across product solutionsDefine the KPIs and ROI metrics that prove AI is actually workingStay ahead of emerging AI technologies and bring bold new ideas to the tableWhat do you needMaster’s degree or equivalent in Healthcare Management, Computer Science, AI, or related field.8+ years of product management experience with exposure to AI or data- driven solutions in healthcare.Experience working with clinical teams or understanding healthcare workflows.This is an opportunity to work on products that touch millions of lives across the UAE!If this aligns with your experience and interest, please apply. Only relevant candidates will be contacted.

We are looking for a skilled AI & Data Engineer with strong experience in building data-driven systems and AI solutions, with a focus on Large Language Models (LLMs). You will be responsible for designing scalable AI systems and transforming data into intelligent products used in production environments.Responsibilities: Design and develop AI solutions using Machine Learning models and Large Language Models (LLMs). Build and maintain data pipelines for processing, transformation, and analysis. Collect, clean, and prepare large datasets for training and evaluation. Develop and optimize machine learning and deep learning models. Integrate LLMs into applications and systems (APIs, chatbots, AI services). Work with SQL and NoSQL databases. Improve model performance, scalability, and reliability. Implement and maintain MLOps and deployment workflows. Monitor data quality and model performance in production. Collaborate with engineering, product, and DevOps teams.Requirements Strong experience with Python. Solid understanding of Machine Learning and Deep Learning concepts. Hands-on experience with Large Language Models (LLMs) such as GPT, LLaMA, or similar. Experience building data pipelines and working with large datasets. Strong knowledge of SQL and NoSQL databases. Familiarity with MLOps and model deployment practices. Experience with frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills.Nice to Have: Experience with Retrieval-Augmented Generation (RAG). Experience with cloud platforms (AWS / Azure / GCP). Experience with Docker and Kubernetes. Experience building AI Agents or intelligent chatbots.

The InstituteTechnology Innovation Institute (TII) a publicly funded research institute based in Abu Dhabi, the United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.AI and Digital Science Research Centre The Artificial Intelligence and Digital Science Research Centre (AIDRC) is the machine learning powerhouse of TII. We work closely with other research centers to harness the full potential of AI across multiple domains — from healthcare and cybersecurity to government and advanced technology systems. We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure. Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.Duties & Responsibilities:Design and build agentic AI systems (multi-agent workflows, tool use, planner and executor patterns) on top of Falcon and other foundation models, applied to enterprise and government use cases.Architect end-to-end RAG pipelines, covering ingestion, chunking, embedding, hybrid retrieval, reranking, and grounded generation across structured and unstructured data sources.Own model serving and inference optimization with vLLM (or equivalent frameworks), including batching, KV caching, quantization, and throughput tuning to meet latency and cost targets.Lead prompt engineering, model selection, and lightweight fine-tuning (PEFT, LoRA, SFT) where it measurably improves application quality.Build rigorous evaluation frameworks and online and offline benchmarks to measure quality, safety, latency, and cost of deployed AI systems, and act on the results.Investigate and mitigate AI failure modes such as hallucination, retrieval gaps, prompt injection, and unsafe outputs, and codify the fixes into reusable patterns.Partner with full-stack engineers, researchers, and product teams to translate business problems into well-scoped AI solutions, then ship them to production and iterate based on real usage.Contribute to internal AI frameworks, libraries, and engineering best practices that accelerate future deployments across the centre.Job Specification:Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related discipline.2 to 8 years of hands-on experience building and deploying AI or machine learning systems in production environments.Strong Python skills, with deep experience in modern AI and ML libraries such as PyTorch, Hugging Face Transformers, LangChain or LlamaIndex, and serving frameworks such as vLLM or TGI.Proven experience with agentic frameworks and design patterns (function calling, tool use, multi-agent orchestration) and with building production RAG systems.Hands-on experience with model serving and inference optimization, including batching, KV caching, and INT4/INT8 quantization for LLMs.Practical experience with prompt engineering, model evaluation, and lightweight fine-tuning (PEFT, LoRA, or SFT) of foundation models.Solid software engineering foundations, including Python API development, version control, testing, and code review.Working knowledge of containerization (Docker), CI/CD, and basic MLOps practices such as model and prompt versioning and observability.Familiarity with vector databases (e.g., Milvus, Qdrant, pgvector, Weaviate) and embedding-based retrieval at scale.Strong communication skills and the ability to engage directly with internal stakeholders and enterprise clients in English (Arabic is a plus).Additional Skills:Patents.Publications in top-ranking conferences and journals, such as ICML, NeurIPS, ICLR, KDD, VLDB, AAAI, and ACL, to cite a few.Experience deploying AI systems in regulated industries (government, financial services, defence) or in Arabic-language contexts.Contributions to open-source AI projects.

AI Engineer (6-Month Contract)📍 Abu Dhabi, UAE | On-site | 6-month contractWe're looking for an AI Engineer to join an IT team in Abu Dhabi for a 6-month contract. You'll build AI tools (like chatbots, document automation, and smart assistants) on Microsoft Azure, and connect them to systems the company already uses, like SharePoint, Teams, and SAP.You'll also work side-by-side with the internal IT team to teach them how to maintain everything after the contract ends.This is a builder role, not a strategy role. You'll write production code, not slide decks.What you'll doDesign and deploy Azure-native AI solutions: RAG systems, agentic applications, document intelligence pipelinesIntegrate AI services with the Microsoft 365 ecosystem (Copilot Studio, SharePoint, Teams, Power Platform)Connect data from Box.com, SharePoint, and SAP SuccessFactorsImplement security, identity (Entra ID), and AI governance controlsPair-program with the internal ICT team to transfer capabilitySet up CI/CD, monitoring, and cost-optimisation for AI workloadsDocument architecture decisions and operational runbooksAdvise on Azure AI best practices and platform evolutionWhat we're looking forMust have:3–5+ years hands-on software engineering with AI/ML deployment focusProduction experience on Azure (Azure OpenAI, AI Search, Document Intelligence, AI Foundry)Strong Python — production-grade, not notebooksRAG pipelines at enterprise scaleAI agent frameworks (Semantic Kernel, LangChain, AutoGen)Cloud infrastructure: networking, security, Entra ID / Azure ADAI integration with Microsoft 365, SharePoint, TeamsStrong documentation and knowledge-transfer skillsNice to have:Box.com API experienceSAP SuccessFactors or HRMS integrationsUAE PDPL / data residency awarenessAzure certs (AZ-305, AI-102, AZ-204)Previous FDE / solutions engineering experienceArabicGCC experiencePlease submit your CV for consideration. Note that only candidates meeting all the 'must-have' requirements will be shortlisted for this role

We’re looking for a passionate AI - Curriculum Specialist to design and develop industry-relevant learning programs in AI, Machine Learning, and Data Science.Create engaging instructional materials including lesson plans, assessments, project-based learning modules, and digital contentCollaborate with subject matter experts, engineers, and trainers to ensure technical accuracy and relevanceIntegrate hands-on learning approaches using real-world datasets, tools, and case studiesContinuously update curriculum to reflect advancements in AI, machine learning, and data scienceEvaluate training effectiveness using feedback, analytics, and learner outcomesAlign content with certification frameworks and global best practicesSupport delivery teams with training materials, facilitator guides, and workshopsResearch latest EdTech tools and AI learning platforms to enhance deliveryRequirements:3–7 years in curriculum/instructional design or AI educationStrong knowledge of AI/ML, NLP, or GenAIExperience with tools like Python, TensorFlow (preferred)Familiarity with LMS and e-learning platformsJoin us to shape the future of AI learning!

About UsWe are a specialist consulting firm delivering services and solutions in “Everything Data” – Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. We are part of a strategic alliance with Synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA’s largest D&A consulting companies.Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.As a Principal AI Consultant you'll be responsible for leading complex end-to-end Artificial Intelligence engagements, driving the definition, architecture, delivery, and adoption of high-impact AI solutions. The role combines deep expertise in AI, machine learning, and software engineering with strong leadership and consulting capabilities. The Principal Artificial Intelligence Consultant provides direction on solution design, delivery strategy, and technical standards, ensuring that AI solutions are scalable, reliable, maintainable, and aligned with business objectives.Your TasksLead complex Artificial Intelligence engagements from opportunity shaping and problem framing to solution delivery, deployment, and adoptionGuide the design and implementation of production-grade AI solutions, includingsolution architecture,models, AI applications, APIs, orchestration layers, pipelines, and platform integrationsBring structure to ambiguous business challenges by defining scope, requirements, execution plans, technical approaches, and expected valueEnsure delivery excellence through strong engineering standards, code quality expectations, testing approaches, observability, monitoring, and operational governanceDrive key technical and functional decisions across modelling, application architecture, scalability, reliability, security, and maintainabilityManage and influence technical and business stakeholders, building trust andidentifyingopportunities foradditionalvalue creationCoach and guide team members across project delivery, technical problem solving, and solution qualityContribute to reusable assets, delivery methodologies, technical standards, and best practices across the Artificial Intelligence practicePresent strategic recommendations, delivery progress, and technical outcomes ina clear way, translating complexity into business impactBuild and strengthen client relationships,identifygrowth opportunities within existing accounts, and contribute to new business developmentContribute to recruitment activities, including candidate evaluation, interviews, and support throughout the hiring process Mentor senior team members and help develop leadership, delivery, and technical capabilities across the practicewithin project deliveryRepresent the Artificial Intelligence team in internal and external initiatives, promoting its capabilities, impact, and continuous growthWhat do we expect from you?Education & ExperienceDegree in Computer Science, Engineering, Statistics, or related field +7years of experience in Data Science or AI roles +2 years of experience leading teams and managing end-to-end project delivery Proven experience delivering AI/ML solutions in production environmentsStrong experience leading end-to-end project delivery, technical design, and stakeholder management in client-facing environmentsTechnical Skills Expert programming skills in Python and strong hands-on experience with AI / ML frameworks and production AI ecosystems Deep understanding of Statistics, Machine Learning, Artificial Intelligence, and the design of production-grade intelligent systemsStrong expertise in architecting and delivering scalable AI applications, including APIs, services, pipelines, orchestration, deployment, and monitoring Strong software engineering knowledge covering architecture patterns, code quality, testing strategy, CI/CD, observability, resilience, security, and long-term maintainabilityAdvanced knowledge of MLOps/LLMOps practices, including deployment, model and application monitoring, evaluation frameworks, governance, feedback loops, and lifecycle managementBroad understanding of modern AI solution types such as machine learning models, forecasting, recommendation systems, optimization, AI agents, RAGand LLM-based applicationsSoft Skills Excellent communication and stakeholder management skills Strong leadership and coaching capabilitiesAbility to translate complex technical concepts into business value and strategic directionAnalytical, problem-solving and decision-making skillsProactive, team player, and continuous improvement mindsetAbility to operate effectively in ambiguous and fast-evolving environmentsWhat You Can ExpectAgile company culture and the best teamJoin our international, ambitious, and collaborative teams that value ownership and excellence.Structured onboarding for smooth integration.Company-wide events (Christmas, Spring, Summer) and regular after works.Community initiatives and team-driven activities (Football team, Gaming channel).Continuous developmentWork on challenging projects that accelerate your professional growth.Structured mentoring, training, and certification programs.Use of agile frameworks combined with established planning and delivery standards.Talent Cycle: regular performance reviews, continuous feedback, and clear career paths.Working ModelAbu Dhabi - In officeOther BenefitsFlexible benefits plan: health insurance, transport, childcare vouchers.Remuneration is structured according to benchmarks and evolving market practices, ensuring internal consistency, external competitiveness, and alignment with business performance and professional progression.25 vacation days.

OverviewInception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.The opportunityJoin a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.ResponsibilitiesYour key responsibilitiesIn the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios. Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios. Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner. Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability. Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders. Propose scenarios where AI techniques could improve the efficiency of the customer’s business. Provide pre-sales and post-sales technical support to the business development team.QualificationsSkills and attributes for successThe criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.To qualify, you must have M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable. Minimum 6 years of experience in developing AI algorithms for various modalities Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.Ideally, you’ll also need A highly curious and inquisitive approach to problem-solving In-depth knowledge of the latest developments in AI and machine learning Excellent communication skillsWhat we look forIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.What working at Inception offersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Work-Life: A hybrid work policy to strike the perfect balance between office and home.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

About VantariVantari is a technology-driven company specialising in advanced solutions for aerospace, defence, and high-tech engineering. We work across key frontiers such as space and defence systems, wireless and 3GPP technologies, hardware and system engineering, software development, cyber security, and artificial intelligence. By partnering with leading organisations building next-generation platforms, we’re able to offer candidates opportunities to contribute to meaningful. When you work with Vantari, you’re supported by a team that understands deep-tech roles and is committed to helping you grow your career in a space where innovation truly matters.Responsibilities:Develop and deploy AI/ML models for real-world applications.Work with large language models (LLMs) and build AI-driven solutions.Design and implement intelligent agents and automated workflows.Integrate AI systems with internal platforms and external APIs.Build scalable and secure AI infrastructure.Apply machine learning and NLP techniques to improve products.Analyze structured and unstructured data to generate insights.Contribute to AI strategy and technical roadmaps.Collaborate with cross-functional teams in an agile environment.Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow).Work across the full AI lifecycle (development to deployment).Adapt to new technologies and solve complex technical challenges.Requirements:Background in Computer Science, Mathematics, Statistics, or related field.Hands-on experience in AI/ML, data science, or data engineering with at least 10+ years of experience.Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).Experience building end-to-end AI/ML solutions from development to deployment.Solid understanding of machine learning, deep learning, and data analysis techniques.Ability to quickly adapt to new domains and solve complex problems.Background in aerospace, defence, robotics, or advanced engineering is preferable.

We are looking for a Senior AI engineer who has good experience in building AI Agents. You will work on retail banking projects for 1.5 million customers. Good experience in deployment and architecture is essential. Role Designing and building Generative AI applications using Large Language Models (LLMs) Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks Implementing RAG architecture with vector databases Knowledge of embeddings, vector DBs, and model evaluation. Implement various Context Engineering strategies to reduce Token Utilization & Latency. Prompt engineering, tool calling, memory management, and agent orchestration Integrating AI services with enterprise APIs, middle ware, and backend systems Evaluated & Improvise AI Agent Performance using several metrics Deploying scalable AI solutions on Azure / AWS cloud platforms

AI EngineerLocation: Abu Dhabi, UAE | Type: Permanent, Full-TimeWe recently had a exciting opportunity for an AI Engineer to join a telecommunications Defence Tech company based in Abu Dhabi. The AI Engineer will be developing and deploying AI models using Pytorch/TensorFlow for cloud and edge devices such as NVIDIA Jetson. If you are a AI Engineer who has a strong experience in deep learning, computer vision, time series modeling and reinforcement learning alongside AI/ML deployments to edge devices then this would be the perfect next step for you.Requirements for the AI Engineer:Experience deploying AI models to cloud and edge devicesExpertise in PyTorch or TensorFlowMust have experience with CNNs, GANs, Transformers, autoencoders etc.PHD or Master's in Computer Science or AI/MLMust be based in the UAE already or keen to relocateSalary - 30k-35k AED per month + Bonus & UAE comprehensive benefits.Apply now to be considered for this great opportunity!

في إطار توجه الوزارة نحو تسريع تبني تقنيات الذكاء الاصطناعي وتعزيز التحول الرقمي القائم على البيانات، تعلن الوزارة عن رغبتها في استقطاب خبير في الذكاء الاصطناعي للانضمام إلى فريقها المتخصص ضمن العائلة الوظيفية (التكنولوجيا الرقمية والبيانات والمعلومات – الذكاء الاصطناعي).يأتي هذا الدور الاستراتيجي لدعم تطوير السياسات، وتصميم الحلول الذكية، وتمكين الاستخدام الأمثل لتقنيات الذكاء الاصطناعي في دعم اتخاذ القرار وتحسين كفاءة الأعمال الحكومية.المهام والمسؤوليات:تحليل احتياجات الأعمال وتحديد أفضل حلول الذكاء الاصطناعي المناسبة.إعداد الدراسات والتصاميم الفنية للحلول الذكية وتقديم التقارير الفنية المتخصصة.تطوير استخدامات الذكاء الاصطناعي داخل الجهة.تصميم وتطوير أطر عمل تعتمد على تحليل البيانات وتحويلها إلى رؤى قابلة للتنفيذ.إعداد الخطط الاستراتيجية للذكاء الاصطناعي وربطها بالأهداف المؤسسية.دعم تطوير النماذج التنبؤية وتحسين جودة البيانات واتخاذ القرار.تقديم وتقييم الحلول التقنية وتقديم التوصيات الفنية لاعتماد أفضل الممارسات.العمل على تكامل حلول الذكاء الاصطناعي مع الأنظمة الرقمية الحالية.تقديم مبادرات الابتكار في الذكاء الاصطناعي داخل الجهة. تقديم وتقييم فرص استخدام تقنيات التعلم الآلي والتحليلات المتقدمة.دعم بناء القدرات الداخلية في مجال الذكاء الاصطناعي.وضع سياسات حوكمة البيانات والذكاء الاصطناعي.متابعة أحدث الاتجاهات العالمية وتطبيقاتها في القطاع الحكومي.المؤهلات والخبرات المطلوبة:دكتوراه في هندسة الحاسوب + خبرة لا تقل عن 8 سنواتماجستير في هندسة الحاسوب + خبرة لا تقل عن 10 سنواتبكالوريوس في هندسة الحاسوب + خبرة لا تقل عن 12 سنةالشهادات المهنية (يفضل توفر عدد منها أو جميعها):شهادة ممارس الذكاء الاصطناعي المعتمدشهادات في الأمن السيبراني وخصوصية البيانات وإدارة المخاطرخبرات وشهادات في الحوسبة السحابية (Azure / Oracle Cloud)شهادات في قواعد البيانات (Oracle / SQL / Data Warehouse)شهادات في تطوير الأنظمة (Java / Python / IoT)شهادات متقدمة في إدارة قواعد البيانات، الحوكمة، وتدقيق أمن المعلومات (ISO 27001 / 27002)

Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception. Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons. With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in. Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment. In the Middle East, Sia provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficient organisation, transformation & change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners’ world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.Why join the Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee WellbeingThese are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.Job DescriptionAt Sia , we believe AI is the cornerstone of the new generation. Our consultants' business acumen, combined with the expertise of our Data Scientists and AI products, empowers us to address our clients' business challenges across the data universe. As we expand Data & AI practice, we seek professionals who share our vision and can contribute to our growth. We are looking for individuals with the following experience: Lead delivery projects with our clients on a wide range of topics: Lead and deliver client engagements across a broad range of Data Science, AI, and Generative AI topics, including enterprise AI transformation, analytics, and intelligent automation initiatives.Develop Data & AI strategies, operating models, and implementation roadmaps aligned with client business objectives and digital transformation agendas.Design and deliver advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions across cloud ecosystems including Microsoft Azure, Azure OpenAI, AWS, and Google Cloud Platform (GCP).Design and implement LLM-powered solutions, including RAG architectures, AI agents, prompt engineering frameworks, orchestration layers, and vector database integrations.Lead functional data architecture, data modelling, and data engineering activities, including ETL/ELT pipelines, API integrations, and structured/unstructured data processing to maximize enterprise data value.Develop and deploy Machine Learning and AI models, including predictive analytics, supervised and unsupervised learning, forecasting, NLP, recommendation engines, and quantitative analysis use cases.Support the setup of scalable AI/ML deployment environments through MLOps practices, model lifecycle management, monitoring, and governance frameworks.Deliver data platform modernization, migration, and AI enablement initiatives leveraging modern cloud-native and enterprise data technologies.Implement enterprise data governance and Responsible AI frameworks, including data quality management, master data management, AI governance, security, compliance, and data sovereignty considerations.Support organizational adoption and business readiness for Data & AI solutions through stakeholder engagement, training, and operating model enablement.Contribute to business development activities, proposal development, thought leadership, and the expansion of Sia’s AI and Data offerings, accelerators, and platforms, including SiaGPT.In addition, we are seeking technical experience across all or some of the below: Strong foundation in Data Science, Machine Learning, and Generative AI, with practical experience delivering AI use cases in enterprise environments.Hands-on experience with Python-based AI/ML ecosystems (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, LangChain).Experience designing and deploying LLM and Agentic AI solutions, including RAG architectures, AI agents, prompt engineering, orchestration frameworks, and vector databases.Knowledge of modern AI platforms and cloud ecosystems such as Microsoft Azure AI, Azure OpenAI, AWS, Google Cloud, Databricks, or Snowflake.Experience with data engineering and data architecture concepts, including ETL pipelines, APIs, structured/unstructured data processing, and enterprise data platforms.Familiarity with MLOps / AIOps practices, model lifecycle management, monitoring, governance, and scalable deployment approaches.Understanding of AI governance, responsible AI, security, and data sovereignty requirements, particularly relevant for public sector and regulated industries in KSA and the GCC.Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar.Ability to translate business problems into AI-driven operating models, analytics solutions, and transformation initiatives.Exposure to sector-specific AI use cases across industries such as Government, Energy, Utilities, Retail, Transportation, Financial Services, or Healthcare.Strong understanding of enterprise digital transformation environments, including integration with CRM, ERP, workflow, and customer platforms.Experience contributing to or leading AI strategy, use case prioritization, PoCs, MVPs, and enterprise-scale AI implementation programs.Familiarity with Agile delivery methodologies and cross-functional product delivery teams.Fluency in English is required; Arabic language proficiency is strongly preferred. Previous experience working in Saudi Arabia or the GCC region is considered a strong advantage.QualificationsTo excel in this role, you should possess: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Software Engineering, Mathematics, Statistics, or a related quantitative field.Master’s degree in a relevant discipline.4–10 years of professional experience in Data Science, AI, Analytics, or Digital Transformation, preferably within a consulting environment.Proven experience delivering AI/Data projects from strategy and use case definition through implementation and deployment.Experience working with enterprise and government stakeholders in UAE or the GCC.Strong client-facing communication and presentation skills, with the ability to engage senior stakeholders and translate technical concepts into business value.Ability to manage workstreams independently and contribute to proposal development, business development activities, and client relationship management.Relevant certifications in cloud, AI, or analytics platforms are considered a plus (e.g., Microsoft Azure AI, AWS Machine Learning, Google Cloud AI, Databricks).Fluency in English and Arabic is required.Experience in local networks and aiding in business development, proposal, and RFPsIt is essential to work independently, functionally, and cross-functionally with large client and vendor teams to deliver quality and comprehensive solutions. Strong relationship management skills, with the ability to build networks and influence stakeholders effectivelyExceptional analytical, communication, and interpersonal skillsAn entrepreneurial mindset with a passion for innovation and problem-solvingAdditional InformationJoining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care & Support, and Employee Wellbeing, ensuring a fulfilling career path. What a career at Sia offer you? Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers. Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future. Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills. Our Commitment to Diversity At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients’ unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood. To learn more about our mission, values, and business sectors, please visit our website.Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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.DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.The Executive Manager - AI Cybersecurity Assurance is a senior leadership position within Deeplight consultancy, embedded directly within a major banking client. The role is responsible for leading the governance, risk management, and compliance (GRC) frameworks for the client's Artificial Intelligence and Machine Learning initiatives. Serving as a trusted advisor to senior bank executives and regulatory stakeholders, this position ensures that all AI deployments comply with internal security policies and global financial regulations, maintaining Deeplight's benchmark for professional excellence and strategic delivery.You responsibilities in this role include:Governance Leadership: Establish, maintain, and oversee the AI cybersecurity assurance framework, ensuring all AI/ML models align with the bank's risk appetite and regulatory mandatesCompliance & Auditing: Lead formal security audits, assessments, and compliance reviews of AI systems, data pipelines, and third-party AI integrationsRisk Management: Identify, evaluate, and document cybersecurity risks inherent in AI technologies, driving the remediation strategy across engineering and business teamsStakeholder Engagement: Act as the primary liaison for internal audit, risk committees, senior executives, and external regulatory bodies regarding AI security complianceOperational Oversight: Monitor and report on the organization's AI security posture, ensuring that identified vulnerabilities and compliance gaps are tracked and resolvedStrategic Alignment: Ensure that AI assurance activities support the broader strategic objectives of both Deeplight and the banking client, modeling senior-level professionalism across all engagementsCoaching and ManagementSenior leaders at DeepLight AI are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.CoachingGrowing future leaders through mentorship and feedbackEmpowering your teams to think independently and learn continuouslyFostering a culture of curiosity, reflection, and resilienceManagementAligning strategy with execution and ensuring delivery excellenceSetting clear goals and objectives, driving accountability, and supporting performanceLeading with transparency, integrity, and trustAs 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.RequirementsTo be successful in this role, we need you to have:A minimum of 8 years in cybersecurity governance, risk, or compliance (GRC), with a distinct focus on emerging technologies or advanced data platformsExtensive experience operating within a highly regulated tier-1 or tier-2 financial institution, navigating strict internal audit and risk structuresProven track record in a senior client-facing professional services or consulting role, managing complex executive-level relationshipsDirect experience leading or defending large-scale technology audits and regulatory reviewsA deep understanding of AI governance frameworks, ethical AI principles, and emerging global regulations (e.g., EU AI Act, local central bank guidelines)Advanced capability in designing and executing risk assessment methodologies tailored to complex, data-driven technologiesExpert knowledge of financial services cybersecurity regulations, data privacy standards, and auditing practicesThe ability to articulate complex technical risk and compliance concepts clearly to board-level executives, auditors, and regulatorsA proven capacity to drive accountability and lead cross-functional compliance initiatives without direct authority over engineering teamsIt would be great if you also have:Relevant designations such as CISA, CRISC, CGEIT, CISSP, or specialized AI governance credentialsA conceptual understanding of MLOps, cloud infrastructure (AWS/Azure), and data lifecycle managementPractical experience applying NIST, ISO 27001, or COBIT frameworks to AI and automated decision-making systemsBenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer 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.

Position is for Emirates onlySenior Data Engineer – Job RequirementsExperience3+ years of experience in data engineering, data platforms, or analytics engineeringProven experience building and operating scalable, production-grade data pipelinesExperience working in complex, multi-source enterprise environmentsCore ResponsibilitiesDesign, build, and maintain robust ETL/ELT pipelinesDevelop and optimize data ingestion, transformation, and processing workflowsEnsure data reliability, performance, and scalabilityImplement data quality, validation, and monitoring within pipelinesSupport analytics, BI, and AI/ML use cases with trusted datasetsTechnical SkillsStrong expertise in SQL and performance tuningProficiency in Python, Spark, or ScalaHands-on experience with:Data Warehouses, Data Lakes, Lakehouse architecturesCloud platforms (AWS, Azure, or GCP)Experience with orchestration tools (Airflow, Azure Data Factory, Dragster)Experience with streaming / real-time data (Kafka, event-driven pipelines)Familiarity with CI/CD, Git, and DevOps practicesData Architecture & IntegrationAbility to work closely with Data Architects to implement target architecturesExperience integrating data from APIs, databases, files, and SaaS platformsUnderstanding of data modeling and analytics-ready schemasData Governance & SecurityAwareness of data governance, data quality, and metadata practicesExperience implementing data access controls and securityUnderstanding of privacy and compliance requirementsLeadership & CollaborationActs as a technical lead on data engineering initiativesMentors junior data engineers and reviews codeStrong collaboration with product, analytics, and business teamsEducation & CertificationsBachelor’s degree in computer science, Engineering, or related fieldCloud or data engineering certifications are a plus

Job Title: AI EngineerExperience: 6 to 12 YearsLocation: Abu DhabiJob SummaryWe are seeking a highly skilled AI Engineer with strong expertise in Microsoft Dynamics integrations and Microsoft Copilot enablement within the Dynamics ecosystem. The ideal candidate will have hands-on experience designing AI-powered enterprise solutions, integrating Dynamics 365 with internal and external platforms, and configuring Copilot capabilities to enhance business operations and customer experiences.Candidates with prior experience in the airline or aviation industry will be strongly preferredKey Responsibilities:Design, develop, and maintain AI-driven solutions integrated with Microsoft Dynamics 365Configure and enable Microsoft Copilot capabilities across the Dynamics ecosystemBuild and support integrations between Dynamics 365 and enterprise systems using APIs, middleware, and cloud servicesCollaborate with business stakeholders to identify AI automation and productivity opportunitiesImplement conversational AI, intelligent workflows, and copilots for customer service, operations, and employee productivityWork with Azure AI services, OpenAI integrations, and Microsoft Power Platform technologiesDevelop secure and scalable data pipelines for AI model consumption and enterprise reportingOptimize Dynamics workflows using AI-assisted automation and predictive capabilitiesSupport deployment, monitoring, and governance of AI-enabled enterprise applicationsEnsure compliance with enterprise security, privacy, and governance standardsParticipate in architecture discussions, solution design, and technical documentationAbout Atain:(http://www.atain.com)Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.comIGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Data Architect, Financial ServicesOur client, a leading financial services organization in Abu Dhabi, are seeking an experienced Data Architect to join a newly established AI Innovation Hub, working on large-scale, enterprise data platforms. This role offers the opportunity to design and build robust data architectures and pipelines that support both operational and advanced analytical use cases in a complex, fast-moving environment.The Role:You will be responsible for designing, implementing, and maintaining scalable ETL/ELT pipelines that ingest, cleanse, and transform data from a wide range of sources. Working with complex, high-volume datasets, you will ensure data is reliable, accessible, and optimised for business and analytical needs.You will collaborate closely with software engineering and AI/ML teams, applying best practices across data governance, security, and quality. A key part of the role involves continuously improving data pipelines, proactively identifying issues, and documenting data architectures, lineage, and metadata to support transparency and long-term scalability.Requirements:5+ years’ experience in data engineering, ETL/ELT development, or data warehousingSignificant and proven experience of working on Databricks (or similar), and building AI use cases using these technologiesProven experience building and operating automated data pipelines using modern orchestration and transformation tools, such as Airflow, Luigi and dbt.Strong understanding of big data architectures and pipeline performance optimisationAdvanced SQL skills for data manipulation and queryingProficiency in Python and at least one additional programming language (e.g. Scala or Java)Hands-on experience with cloud-based data platformsStrong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearlyBachelor’s degree in Computer Science, Engineering, or a related disciplineIf you feel that you fit the brief, please apply today!

Role SummaryStellar Technologies is seeking a Machine Learning Engineer (GenAI) to design, build, and deploy next-generation AI systems combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.In this role, you will bridge model development and production engineering — developing scalable AI pipelines, integrating real-time APIs, and ensuring high-performance AI services that power enterprise-grade solutions. You will work at the intersection of machine learning, cloud infrastructure, and applied research, collaborating with top engineers and data scientists to deliver intelligent, production-ready AI capabilities.Key ResponsibilitiesDevelop and optimize AI systems leveraging LLMs, RAG, and agentic AI frameworks (LangChain, LangGraph).Build and deploy production-grade ML pipelines with real-time inference and retrieval components.Design and manage APIs and streaming services to integrate AI models into enterprise platforms.Implement containerized, orchestrated deployments using Docker, Kubernetes, and Azure ML.Automate data preprocessing, model training, evaluation, and versioning pipelines.Collaborate with cross-functional teams to integrate models into front-end, analytics, and automation workflows.Ensure governance, compliance, and security of deployed AI workloads.Conduct performance benchmarking and optimize inference latency and cost.Monitor AI systems in production using observability frameworks (logging, metrics, tracing).Participate in architecture discussions to enhance scalability and reliability of AI services.Required Skills & ExperienceStrong hands-on experience with LLMs, RAG, and agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.).Proficiency in Python, with deep understanding of ML libraries like PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.Solid experience in API and microservices engineering (FastAPI, Flask).Familiarity with streaming architectures and real-time data handling.Knowledge of cloud platforms (Azure preferred), including Azure AI, Cognitive Services, and ML Ops.Experience with containerization and orchestration (Docker, Kubernetes).Understanding of vector databases (Pinecone, Weaviate, FAISS) and retrieval mechanisms.Experience in CI/CD, model deployment, and production monitoring.Preferred SkillsExposure to GPU-based inference optimization and serverless deployment.Knowledge of observability and monitoring tools for AI (Prometheus, Grafana, Azure Monitor).Experience in model fine-tuning, prompt engineering, or agentic orchestration.Understanding of AI governance, ethical AI, and data privacy frameworks.Soft SkillsStrong analytical and problem-solving mindset.Excellent collaboration and communication skills.Passion for innovation, experimentation, and applied AI.Job Category: Software EngineerJob Type: Full TimeJob Location: Abu Dhabi

SummaryThe AI Engineer will design, build, and deploy production grade AI/ML solutions for Finance House Group. This is a hands-on technical leadership role within a lean, agile team, owning the full lifecycle of AI solutions from problem definition and data pipelines to model deployment, monitoring, and lifecycle management. The role requires strong alignment with regulatory expectations, ensuring governance, explainability, auditability, and security across all implementations.Key ResponsibilitiesEnd-to-End AI/ML Solution OwnershipLead development of predictive and anomaly detection models for risk decisioning across retail lending and cards.Own the full ML lifecycle: EDA → feature engineering → model training → evaluation → calibration → deployment → monitoring → retraining.Implement champion–challenger frameworks and controlled rollout strategies to continuously improve model performance.Deliver actionable outputs (risk scores, key drivers, reason codes, prioritized worklists) for business and governance stakeholders.Data Engineering & Feature PipelinesDesign and build scalable, reliable data pipelines and reusable feature stores.Ensure strict time alignment and leakage prevention in feature engineering.Implement robust data quality frameworks (validation, reconciliation, completeness checks, exception handling).Collaborate with reporting and data teams while independently developing engineering components when required.Production Deployment & MLOpsEstablish and manage MLOps practices: CI/CD, automated testing, model registry, and reproducible pipelines.Monitor model performance, drift (data/concept), and calibration stability; define retraining triggers.Maintain operational readiness through runbooks, alerting, and incident response support.Explainability, Controls & Model GovernanceImplement explainable AI (e.g., SHAP) and translate outputs into audit ready reason codes.Produce complete model governance documentation (validation reports, testing evidence, monitoring dashboards).Ensure compliance with Model Risk Management (MRM) standards including:Human in the loop controlsFull decision traceabilityData security (encryption, RBAC, least privilege access)Partner with Risk and Compliance to strengthen governance frameworks.Enterprise IntegrationIntegrate ML services into enterprise systems via APIs and batch pipelines.Design solutions with strong auditability, logging, and data lineage.Collaborate with IT and Security teams to ensure compliant deployments, preferably on OCI.Experience7–10 years of experience, with 5+ years in ML engineering/data engineering within financial services.Proven track record of deploying multiple ML models into production environments.QualificationsData EngineeringStrong SQL and data modeling expertise.Experience building scalable feature pipelines with data quality, reconciliation, and lineage controls.Machine LearningDeep expertise in feature engineering, time-based validation, and leakage prevention.Strong experience with:Supervised learning & anomaly detectionModel evaluation (AUC, KS, precision/recall, lift, stability metrics)Probability calibration and challenger modelingFamiliarity with synthetic data generation (with governance controls).Explainability & Responsible AIHands-on experience with SHAP and model interpretability techniques.Experience implementing drift monitoring, bias detection, and validation standards.MLOps & Production EngineeringExperience deploying models via APIs/batch pipelines with secure configurations.Strong understanding of CI/CD for ML, versioning, rollback, and reproducibility.Experience with cloud platforms (OCI preferred).

في إطار توجه الوزارة نحو تعزيز قدراتها الرقمية وتسريع تبني حلول الذكاء الاصطناعي في بيئة العمل الحكومي، تعلن الوزارة عن توفر شاغر وظيفي بمسمى مهندس الذكاء الاصطناعي ضمن العائلة الوظيفية (التكنولوجيا الرقمية والبيانات والمعلومات – الذكاء الاصطناعي).ويأتي هذا الدور لدعم تطوير وبناء وتشغيل وصيانة أنظمة الذكاء الاصطناعي، والمساهمة في رفع كفاءة الحلول التقنية، وتعزيز موثوقية الأنظمة الذكية المستخدمة داخل الجهة.المهام والمسؤولياتتطوير وبناء أنظمة الذكاء الاصطناعي وتحسين أدائها وكفاءتهادعم تنفيذ أنظمة الكشف الآلي عن الأعطال وتحليل البيانات التشغيليةتطوير نماذج تعلم آلي لمعالجة البيانات غير المنظمة واستخلاص النتائجالمساهمة في مشاريع الحوسبة الذكية والتطبيقات التحليليةتطوير أدوات معالجة اللغة الطبيعية والتنقيب في النصوصدعم تكامل الأنظمة الذكية مع الأنظمة الحكومية الحاليةتحسين جودة البيانات وإزالة التكرار ومعالجة الأخطاء التقنيةتعزيز التعاون بين الإنسان والآلة من خلال حلول ذكية مبتكرةتنفيذ المهام الفنية المرتبطة بتطوير وصيانة الأنظمة الذكيةاختبار وتقييم نماذج الذكاء الاصطناعي قبل نشرها في بيئة الإنتاجدعم فرق التحول الرقمي في بناء حلول تعتمد على البيانات الضخمةالمشاركة في تحسين البنية التحتية للذكاء الاصطناعي داخل الجهةمتابعة أحدث تقنيات الذكاء الاصطناعي وتطبيقاتها العمليةدعم مبادرات الابتكار التقني داخل الوزارةالمؤهلات والخبرة المطلوبة:بكالوريوس في هندسة الحاسوب أو ما يعادلهاحديث تخرج أو خبرة عملية مناسبة في مجال الذكاء الاصطناعي أو هندسة البرمجياتالشهادات المهنية (ميزة إضافية)شهادات في الذكاء الاصطناعي والتعلم الآليشهادات في الأمن السيبراني وخصوصية البياناتشهادات في الحوسبة السحابية (Azure / Oracle Cloud)شهادات في قواعد البيانات (SQL / Oracle / Data Engineering)شهادات في تطوير البرمجيات (Python / Java / IoT)شهادات في إدارة الأنظمة وعمليات أمن المعلومات (ISO 27001 / 27002)

The ideal candidate should combine strong enterprise analytics and AI transformation experience with hands-on expertise in:• Web Analytics• Social Media Analytics• Audience Intelligence & Customer Analytics• Conversion Optimization• Digital Performance Measurement• Executive Dashboarding & KPI FrameworksKey Responsibilities:• Lead the organization’s AI & Analytics function and operating model• Build unified audience intelligence and digital performance frameworks• Drive AI-powered analytics and executive reporting initiatives• Develop KPI governance and cross-platform reporting standards• Deliver actionable insights across digital, social, web, and audience channels• Support AI adoption and data-driven decision-making across the organizationPreferred Backgrounds:• Retail• Airlines• Ecommerce• Digital Media• Tourism / Customer ExperienceRequirements:• 10+ years of experience in AI, Analytics, Audience Intelligence, or Digital Transformation leadership• Strong experience with Azure, Databricks, Power BI, GA4, Adobe Analytics, and social platform analytics• Experience building analytics functions, COEs, or enterprise reporting capabilities• Strong executive communication and stakeholder management skills• Experience within government or large enterprise environments is preferred

We have an urgent requirement for AI Solution Architect (AWS + Azure) is required for our banking client in Abu Dhabi, UAEStrong experience on AWS: SageMaker, Lambda, EKS (Kubernetes)---MustStrong experience on Azure: Azure ML, Azure OpenAI, AI Foundry MUSTStrong experience on designing production-grade AI/ML platforms for enterprise-scale workloads is THE MUSTStrong experience on GenAI implementations (e.g., Azure OpenAI, LLMs) is THE MUSTStrong experience on RAG (Retrieval-Augmented Generation) pipelines ---MustStrong experience on implementing MLOps pipelines (CI/CD for models, monitoring, retraining) is MUSTWe are hiring an experienced AI Solution Architect to design and lead enterprise-scale AI/ML and Generative AI platforms for the banking domain. This role requires strong hands-on experience with AWS and Azure, deep understanding of secure cloud architectures, and the ability to lead engineering teams end to end.You will work closely with business, data science, engineering, and security teams to build scalable, compliant, and production-ready AI solutions.Key Responsibilities Design and architect enterprise-grade AI/ML and GenAI platforms for banking use cases Lead and mentor AI/ML and platform engineers Build secure and scalable cloud architectures using: AWS: SageMaker, EKS, Lambda Azure: Azure ML, Azure OpenAI, AI Foundry Design and implement MLOps pipelines (model training, deployment, monitoring, retraining) Implement governance, security, and compliance aligned with banking regulations Design RAG (Retrieval-Augmented Generation) architectures for GenAI applications Work with Kubernetes for containerized AI workloads Collaborate with stakeholders to translate business requirements into technical solutions Ensure performance, reliability, and cost optimization of AI platformsRequired Skills & Experience 8+ years of experience in AI/ML solution architecture Strong experience in banking or financial services AI platforms Hands-on expertise with AWS SageMaker and Azure ML Experience with Azure OpenAI and GenAI use cases Solid understanding of MLOps, model governance, and AI lifecycle management Experience with Kubernetes (EKS) and cloud-native architectures Strong knowledge of security, data privacy, and regulatory requirementsSkills: azure,aws,architect,ai

Role HighlightsRole: Forward Deployed AI EngineerDepartment: Forward Deployed EngineeringLocation: Sweden (Stockholm), Netherlands (Breda), Poland (Warsaw), UAE (Abu Dhabi), Germany (Berlin), Portugal (Lisbon), Greece (Athens) Reports to: VP, Forward Deployed EngineeringWorking type: Hybrid (On-site at customer locations approx. 50% of time)Must be eligible and able to attain relevant national and NATO security clearances at the highest level.Must be based in-country and native level speaker of the country you're deploying to. The Mission of the Forward Deployed AI EngineerIn this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.Who We AreICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.Day To Day ResponsibilitiesPlatform Deployment & IntegrationDeploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.Troubleshoot deployment issues in disconnected environments without external internet access.AI Solution Development & CustomizationBuild Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.Data Fusion & Intelligence WorkflowsBuild data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).Develop automated workflows that correlate and cross-reference information across different data modalities.Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.Customer Engagement & Rapid PrototypingWork embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.Conduct hands-on training sessions on platform capabilities and AI workflow usage.Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.What we are looking forMust Have Skills3+ years hands-on software engineering building and deploying production systems.Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.Hands-on experience with LLMs, prompt engineering, and RAG systems.Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.Experience with Docker and deploying in secure / isolated / air-gapped environments.Practical experience with APIs, data pipelines, and integrating systems in production,Familiarity with Linux and basic Kubernetes operations.Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.Willingness to travel 40–60% to customer sites within the region.Nice To Have SkillsExperience in defense, intelligence, or government operational environments.Deploying to on-prem data centers and/or air-gapped networks.Familiarity with geospatial data, satellite imagery, or remote sensing.Experience with MCP integrations, multi-agent systems, or agentic workflows.Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.Understanding of intelligence analysis workflows and defense/government requirements.Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).Background in solution engineering, technical consulting, or customer success.Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).Application processTalent Acquisition InterviewTake home taskHiring Manager InterviewHiring Team InterviewOffer DecisionWorking at ICEYEAt ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.How We Work (Our Values)Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.BenefitsOur benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.Our commitment to Diversity, Equity and InclusionWe want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com

Role OverviewWe are looking for an AI Engineer with strong AI coding capabilities to join our team. This role focuses on translating real business requirements into working code and business logic by leveraging AI technologies and multiple technical approaches. The ideal candidate is not limited to a single tool or framework and is able to flexibly apply different methods to deliver effective, scalable solutions.Key Responsibilities• Design and implement AI‑driven solutions based on real business needs, transforming AI capabilities into production‑ready code and business logic.• Demonstrate strong AI coding skills, using AI technologies (including but not limited to large language models, intelligent agents, automation tools, etc.) to improve development efficiency and system capabilities.• Select and combine multiple tools, techniques, and approaches (e.g. LLM APIs, traditional algorithms, rule‑based logic, automation scripts) rather than relying on a single solution.• Participate in backend and service‑side development, designing and implementing core system logic as required.• Work closely with frontend developers when necessary to ensure end‑to‑end feature delivery.• Embed AI capabilities into existing business workflows to improve efficiency, reduce manual effort, and enhance intelligence across systems.• Collaborate closely with product, business, and engineering teams to deeply understand business logic and convert it into reliable, scalable technical solutions.• Continuously explore, evaluate, and apply new AI tools and technologies in appropriate business scenarios.Requirements• Strong proficiency in Python, with solid programming fundamentals and clean coding practices.• Proven AI programming experience, including applying AI models or AI‑assisted development tools to solve real‑world problems.• Hands‑on experience with backend development and a solid understanding of system architecture and data flow.• Business‑oriented mindset, with the ability to understand requirements beyond pure technical implementation.• Strong learning ability and problem‑solving skills, capable of quickly adopting new tools and methodologies.• Good communication skills and a collaborative team attitude, with strong execution and ownership.

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.DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.The Lead AI Cyber Security Threat Intelligence Specialist is a senior position within Deeplight consultancy, deployed directly to a major banking client. Serving as a key advisor to the client's senior leadership, the role involves identifying, analysing, and mitigating security threats unique to Artificial Intelligence and Machine Learning systems. The position requires a balance of advanced technical threat intelligence, risk analytics, and professional advisory skills within a highly regulated financial services environment.ResponsibilitiesThreat Analysis: Monitor, detect, and analyse emerging cyber threats, vulnerabilities, and attack vectors targeting the banking client's AI/ML infrastructure, models, and data pipelinesRisk Mitigation: Develop and implement proactive defence strategies, countermeasures, and security frameworks to protect AI systems against adversarial attacks, data poisoning, and model inversionStakeholder Advisory: Translate complex AI security risks into clear, actionable intelligence reports and briefings for senior leadership and risk committeesIncident Response Collaboration: Work alongside the client's existing Security Operations Centre (SOC) and Incident Response teams to investigate and remediate AI-specific security breachesStrategic Contribution: Align Deeplight's delivery with the client's long-term security strategy, modelling high professional standards and technical excellence across all project workstreamsAs 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.RequirementsTo be considered for this role, we need you to have:A minimum of 6 years in cybersecurity, with at least 2 years focused specifically on securing AI/ML workloads or advanced data platformsProven experience working with or within a Tier 1 or Tier 2 banking institution, navigating strict regulatory and compliance standardsPrior experience in a client-facing professional services or consultancy role, managing expectations and delivering structured project outcomesExperience analysing complex cloud-based enterprise environments (e.g., AWS, Azure) where AI systems are deployedAn advanced understanding of AI-specific security frameworks, vulnerabilities (e.g., OWASP Top 10 for LLMs, MITRE ATLAS), and defensive engineeringProficiency in collecting, processing, and analysing technical cyber threat intelligence within a corporate network environmentThe ability to quantify and model security risks associated with deploying AI models in production, particularly regarding data privacy and financial complianceThe capability to communicate critical security risks to senior bank executives, regulators, and non-technical stakeholdersIt would also be great if you have:Security certifications such as CISSP, CISM, or specialized AI/Cloud security credentialsFamiliarity with Python, MLOps pipelines, or data science tools to better understand model vulnerabilitiesA deep understanding of global financial regulations impacting AI, such as the EU AI Act or local banking authority guidelinesBenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer 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.

Job Description:Assist in the development, testing, and maintenance of data and AI solutions under the guidance of the Manager - Intelligent Automation and AnalyticsSupport the design and implementation of data pipelines, ETL processes, and basic data transformations to enable reliable data consumption for analytics and AI use casesCollaborate with senior developers and data engineers to integrate AI models and automation components into existing business applications and workflowsParticipate in code reviews, follow coding standards, and contribute to improving code quality, documentation, and maintainabilityPerform basic data exploration, validation, and quality checks to ensure accuracy, completeness, and consistency of data used for analytics and AI modelsDevelop and maintain simple scripts, utilities, and APIs to support intelligent automation, reporting, and data processing activitiesAssist in monitoring and troubleshooting data pipelines, AI models, and automation solutions, escalating complex issues to senior team members when requiredDocument technical specifications, solution designs, test cases, and deployment steps for data and AI components in a structured and reusable formatWork closely with business stakeholders and analytics teams to understand requirements, clarify data needs, and translate them into basic technical tasksSupport deployment, configuration, and version control of data and AI assets across development, test, and production environments following established processesContribute to proof-of-concept initiatives in data, AI, and intelligent automation by building prototype solutions and experimenting with new tools and techniquesAdhere to organizational security, compliance, and data governance guidelines while handling sensitive business data and developing AI-powered solutionsContinuously learn and upgrade skills in data engineering, AI, and automation technologies relevant to the Data Foundation department and business needsCollaborate with cross-functional teams within the Data Foundation department to ensure alignment of solutions with enterprise data architecture and standardsProvide basic operational support for existing data and AI solutions, including incident resolution, minor enhancements, and performance tuningParticipate in agile ceremonies, status updates, and project meetings, providing clear and timely updates on assigned tasks and deliverablesSupport the preparation of technical and user documentation, training materials, and handover notes to ensure smooth adoption of solutions by end users and support teamsContribute ideas for improving development processes, automation opportunities, and the effective use of data and AI within the locationRequirements:Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.Up to 3 years of experience in software development, data engineering, analytics, or AI related projects including internships or academic projectsBasic understanding of programming concepts and experience with at least one language such as Python, Java, or CFamiliarity with relational databases and basic SQL for querying and manipulating data, Exposure to data pipelines, ETL concepts, or data integration tools through coursework, projects, or prior roles, Interest in AI, machine learning, or intelligent automation and willingness to learn related frameworks and toolsAbility to read and understand technical specifications, design documents, and data modelsStrong analytical and problem solving skills with attention to detail and data accuracyGood communication skills to work effectively with technical and non technical stakeholdersAbility to work in a collaborative team environment within the Data Foundation departmentWillingness to follow established development standards, processes, and documentation practicesAbility to manage multiple tasks, prioritize work, and meet deadlines under supervisionOpenness to continuous learning and adapting to new tools, technologies, and methodologies in data and AIComfort working in an office environment at the location as per organizational requirementsEligibility to work in the specified location and comply with company policies and security guidelinesSkills:Proficiency in at least one programming language such as Python, Java, or C, Basic SQL querying and understanding of relational database concepts.Fundamental understanding of data structures, algorithms, and object oriented programming, Exposure to data processing or ETL tools and conceptsFamiliarity with version control systems such as Git, Basic knowledge of APIs and integration conceptsUnderstanding of core AI or machine learning concepts at a foundational level, Ability to perform data validation, cleansing, and simple exploratory analysis, Problem solving and analytical thinkingAbility to write clean, readable, and maintainable code with guidance, Documentation and technical writing skills for code, processes, and solutions.Collaboration and teamwork in a multi disciplinary data and analytics environmentTime management and task prioritization, Adaptability to new tools, frameworks, and technologies in data and AIEffective verbal and written communication skills

We have an urgent requirement for AWS Devops Engineer –with experience in AI solutions in banking domain for one of the bank in Abu Dhabi, UAEStrong Experience in Code (IaC) tools like Terraform, CloudFormation is THE MUSTStrong Experience in Implementing (CI/CD) pipelines using tools Aws DevOps, and GitHub Actions is MUSTKubernetes experience is MUSTAutomate infrastructure provisioning using Terraform or AWS CloudFormation is the Must Implement MLOps workflows for model training, testing, deployment, and monitoring. is MUST Manage AWS services such as EC2, S3, Lambda, IAM, CloudWatch, SageMaker, and Bedrock is MustThe first round is a 1.5-hour online JavaScript test on Gorilla, which is mandatory. Please only apply for this role if you can commit to taking this test. Design, deploy, and manage scalable AI infrastructure on AWS cloud platforms.2. Build and maintain CI/CD pipelines for application and machine learning deployments.3. Automate infrastructure provisioning using Terraform or AWS CloudFormation.4. Deploy and manage containerized applications using Docker and Kubernetes (EKS/ECS).5. Monitor cloud environments, system performance, security, and cost optimization.6. Implement MLOps workflows for model training, testing, deployment, and monitoring.7. Manage AWS services such as EC2, S3, Lambda, IAM, CloudWatch, SageMaker, and Bedrock.8. Collaborate with AI engineers, developers, and data scientists to operationalize AI solutions.9. Ensure infrastructure security, compliance, backup, and disaster recovery processes.10. Troubleshoot production issues and provide continuous improvements for reliability and scalability.Skills: devops,aws,bank

WE ARETransforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of data science, providing tons of experience and working with the best talents in the field.In the Data Science Center of Excellence, we contribute to a wide range of projects in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.IF YOU AREA holder of a Ph.D. or master's degree in computer science or a related fieldExperienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond)Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generationCompetent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AIAdept at applying advanced deep learning techniques in practical scenariosWell-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applicationsProficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasksAware of the software development lifecycle of AI projects, machine learning operationalization processesExperienced with AI solutions deployment to the main cloud providersHands-on with Python and TensorFlow or PyTorchHands-on with Azure AI Foundry, Azure OpenAI, Azure AI Services, and cloud-native AI solution developmentExperienced with agent frameworks such as Microsoft Agent Framework, OpenClaw, Databricks agentic capabilities, LangChain, LangGraph, or similar technologiesKnowledgeable in building scalable multi-agent workflows, including agent routing, orchestration, tool usage, memory management, context persistence, and handoff protocolsStrong in LLM system design and instruction architecture, including system message design, few-shot structuring, reasoning patterns, behavioral guardrails, and safe tool-use policiesPossessing strong interpersonal, analytical, and problem-solving skillsEasily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understandCapable of maintaining business communication in English at the upper-intermediate levelAND YOU WANT TOWork with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in productionChoose relevant computational tools for study, experiment, or trial research objectivesDrive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniquesDevelop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applicationsProduce clear, concise, well-organized, and error-free computer programs with the appropriate technological stackPresent results directly to stakeholders and gather business requirementsDevelop expertise in state-of-the-art Generative AI techniques and methodologiesGrow your skill set within a dynamic and supportive environmentWork with Big Data solutions and advanced data tools in cloud platformsBuild and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insightsLead teams of data scientists and software engineers to successful project executionTOGETHER WE WILLMaintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environmentsDrive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generationCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertiseSoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.

Job Title: Senior Data Scientist – Contract – Abu DhabiLocation: Abu Dhabi, UAE (Onsite)Role Type: Contract (6 months, with potential to extend)We’re hiring a Senior Data Scientist for a 6 month contract role, starting immediately, in Abu Dhabi.We’re looking for someone with strong experience in LLMs, agentic workflows, and applied machine learning. This is an exciting opportunity to help design and deploy next-generation AI solutions that power intelligent agents, natural language interfaces, and knowledge-driven applications.What you’ll be doing:· Building and optimising LLM-based solutions for summarisation, semantic search, dialogue systems, and reasoning.· Developing agentic workflows using LLMs, tools, APIs, and data pipelines.· Fine-tuning and aligning models using prompt engineering, RAG, RLHF, and knowledge grounding.· Working on multi-modal AI pipelines combining LLMs, computer vision, knowledge graphs, and structured data.· Collaborating with engineers, data teams, and product stakeholders to bring AI models into production.What we’re looking for:· 5+ years’ experience in AI, ML, or intelligent agent development.· Strong Python skills and hands-on experience with TensorFlow, PyTorch, and Hugging Face.· Experience with LangChain, LlamaIndex, Haystack, or similar orchestration frameworks.· Knowledge of RAG pipelines, vector databases, and modern AI system design.· Excellent communication, problem-solving, and collaboration skills.Recruitment processThe role has recently opened so please apply. When your application is reviewed, you will be contacted if your profile meets the requirements. The customer will conduct online interviews. Your ConsultantMichael Deane, Senior Recruitment Consultant with a focus on placing C-Suite, VP & Senior talent, along with Technical and Business Development professionals within Enterprise Technology across the Middle East region. Michael has an extensive technical, leadership and recruitment background.If you’re available to start immediately and interested in a 6 month contract role in Abu Dhabi, please apply.

We are seeking a number of experienced Product Designers to join a specialist digital finance innovation hub based in Abu Dhabi.Discover the opportunityOur client builds next-generation digital platforms at the intersection of financial services and intelligent technology. Backed by an established financial institution, this specialised team focuses entirely on incubating new concepts and scaling smart applications that simplify complex financial interactions.Discover the roleAs an experienced individual contributor, you will take full ownership of the user experience across advanced financial products - driving design quality, shaping product direction, and working with a high degree of autonomy. You will collaborate closely with data scientists and engineers to translate complex AI capabilities into intuitive, user-centred journeys, and play an active role in raising the bar for craft and consistency across the team.Discover the requirements5+ years of digital product design experience, with a portfolio that demonstrates your process from research through to final productionPrior experience working within the fintech sector or modern financial servicesHands-on experience designing interfaces for AI, machine learning, or data-heavy applicationsStrong capabilities in user journey mapping, rapid prototyping, and high-fidelity visual designProven ability to work autonomously, lead design decisions, and drive workstreams independentlyExcellent communication skills to articulate and defend design decisions to both technical and business audiencesA track record of cross-functional influence - shaping outcomes beyond the design laneDiscover the packageLocation: Abu Dhabi, UAESalary: up to 34k AEDVisa sponsorship + medical insurance included + bonusSmall, fast-moving team - you'll have real ownership from day oneThis is a rare opportunity to work on genuinely complex problems, inside a team that moves fast and gives you room to lead your craft. If you've ever wanted to do your best work somewhere that will actually let you - this is that place.

We are a technology and innovation company headquartered in Abu Dhabi, helping organizations lead confidently in the digital era. By combining cutting-edge AI innovation with enterprise-grade cybersecurity, we enable businesses and governments to transform, scale, and operate securely in an increasingly complex world.We are growing fast and we are looking for a Technical Delivery Manager who does not just manage projects but leads them. Someone who thrives at the intersection of technology and client impact, who can walk into a room with a C-suite and command credibility, and who genuinely cares about delivering outcomes, not just outputs.This is a senior, high-visibility role. You will own Programs end-to-end from the moment we respond to an RFP, through delivery, and into managed services. You will advise clients, mentor internal teams, and help shape how we grow as a delivery organization hands on.Requirements10+ years of technical project and program delivery, with a track record of owning complex, multi-workstream engagementsDemonstrable experience delivering GenAI, data, and advanced analytics solutions - hands-on familiarity with the technology is essential, not just theoretical exposure.[AY1.1]Experience spanning the full engagement lifecycle: RFP response, project delivery, and post-go-live managed servicesProven client-facing experience at senior and executive level - regional stakeholder management is a significant advantageExperience operating in large enterprise or government delivery environments, particularly in sectors such as Energy, Oil & Gas, or Public SectorBackground in multi-vendor delivery environments with complex dependencies and distributed teamsKey Duties & Responsibilities (List key responsibilities of the job)Program Leadership — End to EndOwn the full delivery lifecycle: from RFP response and solutioning through to go-live and post-delivery managed servicesDefine scope, roadmaps, delivery plans, milestones, and governance frameworks from day one of engagementDrive sprint and release planning across distributed engineering, data, and AI teams in Agile and hybrid delivery modelsManage risks, dependencies, budgets, and timelines with rigor - always maintaining meticulous documentation and program controlsEstablish and embed PMO practices, reporting cadences, and delivery metrics across the program you ownClient Advisory & Stakeholder ManagementAct as a trusted advisor to client leadership - translating complex technical delivery into clear, confident, executive-level communicationBuild and sustain strong relationships with senior client and government stakeholders across the UAE and wider Middle East regionLead board-level reporting and steering committee engagement, presenting progress, risks, and strategic recommendations with authorityNavigate multi-vendor and multi-stakeholder environments, aligning competing priorities and maintaining momentumRFP & Pre-Sales ContributionPlay a hands-on role in developing RFP responses and solution proposals - not simply reviewing, but actively writing, structuring, and shaping bidsWork with architecture and technical teams to estimate scope, effort, and delivery approaches for complex AI, data, and platform programsContribute to solution workshops and technical discussions, bringing delivery credibility to pre-sales engagementsAI & Data DeliveryLead delivery of AI and machine learning solutions, data engineering pipelines, analytics platforms, and cloud infrastructure programsCoordinate effectively with data scientists, ML engineers, and platform teams - you do not need to code, but you need to understand deeplyManage delivery across cloud-native (Azure, AWS, GCP) and on-prem environments, microservices architectures, API ecosystems, and CI/CD pipelinesTeam Leadership & MentoringServe as a mentor and coach to internal delivery teams - instilling best practices, building capability, and raising standards across the organizationCoordinate international vendors and distributed teams, ensuring alignment and accountability without direct line authorityFoster a culture of continuous improvement, learning, and delivery excellence within your programsKey Skills (Core skills and key words that will be used by workable AI for the job or role). You do not need to be an engineer, but you must be able to hold your own in a technical conversation. We expect strong familiarity with:AI and ML solution delivery - understanding of model development lifecycles, data pipelines, RAG, and agentic AI application architectures. You are in touch with what is happening in the rapidly evolving AI ecosystemCloud-native platforms: Azure, AWS, or GCP — including microservices, containerization, and distributed system designData platforms: data lakes, data warehouses, analytics ecosystems, and data engineering pipelinesAPIs, system integration, and enterprise application architecturesDevOps, CI/CD practices, and modern SDLC methodologiesAgile / Scrum / SAFe and hybrid delivery frameworks; Jira and equivalent tooling

We’re Hiring: Senior AI / Machine Learning EngineerAbu Dhabi | 6-Month Renewable ContractWe are looking for an experienced AI/ML Engineer to join a high-impact technology team working on advanced intelligent systems and data-driven solutions.This role is ideal for someone with strong experience in Generative AI, NLP, predictive analytics, and production-grade machine learning systems.Key Responsibilities:Design and optimize LLM-powered applications for processing complex technical and regulatory contentBuild NLP and semantic search solutions using modern GenAI frameworks and RAG architecturesDevelop forecasting, classification, and anomaly detection models for business and operational insightsCreate scalable ML pipelines and deploy models into production environmentsWork closely with cross-functional engineering and business teams to deliver AI solutions for real-world use casesImprove model performance, monitoring, and continuous retraining workflowsRequirements:5+ years of experience in Machine Learning Engineering or Applied AIStrong hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, Scikit learn, Pandas, and NumPyExperience with LLMs, transformer models, Hugging Face, LangChain, and GenAI applicationsGood understanding of MLOps practices, Docker, Kubernetes, MLflow, or similar toolsExperience building data pipelines for structured and unstructured dataAbility to work in agile, fast-paced engineering environmentsPreferred:Experience with RAG pipelines, semantic search, and prompt engineeringExposure to optimization algorithms, forecasting models, or risk analyticsStrong communication and collaboration skillsIf interested, feel free to apply.

About SteerAISteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.Role OverviewWe are looking for a Perception Engineer to join our GROUND Robotics team. In this role, you will be primarily responsible for maintaining and evolving the perception module of SteerAI’s CoreX autonomy stack, which supports autonomous mission execution across diverse platforms.Key ResponsibilitiesMaintain and improve CoreX’s perception module, including capabilities such as object detection, semantic segmentation, multi-object tracking, LiDAR-based terrain understanding.Extend and adapt the perception system for new robotics platforms and deployment scenarios.Develop clean, modular, and efficient C++ code aligned with industry best practices and ROS1/ROS2 standards.Collaborate closely with localization, planning, and controls teams to ensure seamless system integration and performance.Conduct field testing and iterative tuning of perception features under real-world conditions.Contribute to code reviews and maintain detailed technical documentation for system components.Qualifications Bachelor’s or Master's degree in Robotics, Computer Vision, or a related field.4+ years of experience in real-time perception or computer vision systems.Strong programming skills in C++, with hands-on experience in ROS1 or ROS2-based systems.Proficiency with common perception libraries and frameworks such as OpenCV, PCL, Open3D, PyTorch, and TensorRT.Practical experience with sensor calibration, obstacle detection, LiDAR filtering, and related perception tasks.Familiarity with multiple sensor modalities including LiDAR, monocular/stereo cameras.Experience using modern development tools and workflows (e.g., Git, Docker, Jenkins).Exposure to off-road or unstructured terrain perception challenges.Familiarity with traditional perception techniques, alongside deep learning-based methods including dataset preparation, model development, and deployment; experience with transformer-based approaches is a plus. Hands-on experience with ARM64-based edge devices such as the NVIDIA Jetson familyStrong communication skills, capable of effectively explaining complex idea.Able to work independently and as part of a fast-paced, mission-driven team.Proactive mindset with a willingness to pivot between different parts of the perception stack when needed.What We OfferWe provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.Join us to drive innovation and shape the future of technology!

A senior AI consulting opportunity is available in Abu Dhabi for a commercially sharp, client-facing professional who can open doors, shape opportunities, and turn business problems into compelling transformation agendas. The role sits at the intersection of strategy, advisory, and AI innovation, with ownership of the early-stage client narrative before solution design begins. Role overview This position is focused on front-end consulting rather than hands-on delivery. You will work with senior stakeholders to define where AI can create value, frame the right problems to solve, and help build the business case for change. The right person will be comfortable leading executive conversations, guiding opportunity shaping, and influencing decision-makers in complex enterprise environments. What you’ll doLead early-stage client discussions with senior business and executive stakeholdersAct as a trusted advisor to C-suite leaders on business challenges and value creation opportunitiesRun discovery workshops, executive briefings, and pre-sales conversationsDefine AI-enabled use cases, problem statements, and transformation prioritiesTranslate business needs into clear briefs for technical and delivery teamsShape proposals, value narratives, and executive presentationsBuild business cases, ROI stories, and investment recommendationsWork closely with technical specialists to align commercial intent with practical executionStay current on AI, GenAI, and digital transformation trends from a business impact perspective What you’ll bring10+ years in management consulting, strategy, or senior advisory rolesStrong experience in pre-sales, transformation, or client advisory workA track record of helping win proposals and influence executive approvalExcellent stakeholder management and facilitation skillsStrong commercial judgement and the ability to build persuasive business casesHigh executive presence, emotional intelligence, and polished communication skillsExposure to AI, data, digital, or advanced analytics initiatives is an advantageWhat’s on offerA high-profile role shaping AI-led transformation opportunitiesDirect access to senior decision-makers and strategic client conversationsA chance to work at the intersection of consulting thinking and AI innovationClose collaboration with expert technical teamsA fast-paced, collaborative environment in Abu Dhabi.

Job DescriptionAs an expert in Ancillary Revenue and Merchandising, you will act as the strategic architect of Etihad’s non-fare revenue streams, driving the end-to-end development of innovative products that enhance the guest journey and maximize Revenue per Passenger (RevPP). This high-impact role sits at the intersection of Digital, Sales, and Airport Operations, leveraging AI and Machine Learning to deliver hyper-personalized offers—from branded fare optimization to 3rd-party partnerships like travel insurance and car rentals. You will be responsible for monitoring commercial performance, identifying new market opportunities, and implementing sophisticated merchandising strategies across all digital channels to ensure Etihad remains a leader in global aviation retailing.AccountabilitiesAct as the subject matter expert and develop innovative solutions to highlight and implement revenue opportunities to Revenue Management, Sales, Digital, eCommerce and Product teams, Airport operations.Identfy and lead end to end development of new ancillary products aligned with Etihad’s commercial goalsMonitor commercial performance of all ancillary categories, producing actionable insights on take rate and Revenue per Passenger (RevPP) to drive continuous improvement Lead the adoption of new ancillary products and drive the development of revenue contribution, including end-to-end management of the 3rd party ancillary product portfolio (e.g travel insurance, car rentals etc), ensuring the product portfolio and partners align with Etihad’s brand and commercial strategyDevelop and implement processes for leveraging new technology and deliver enhanced products to Etihad’s Guests and improving revenue, including the use of AI/ML systemsManage the strategy and performance of branded fares, including pricing, positioning, merchandising and buy-up optimization across all channelsDevelop and execute Etihad’s ancillary merchandising strategy across digital platformsQualificationsBachelors degree with 7 years’ travel/airline experience with a minimum of 3 years specifically in ancillary revenue with a strong grasp of ancillary product developmentAdvance experience analysing ancillary performance data to make strategic and tactical recommendations and decisionsExperience partnering with cross functional teams to deliver revenue targets, including Sales, Revenue Management, Digital, eCommerce, Product etc. Experience managing 3rd-party commercial partnerships within aviation, travel or eCommerce, including contract negotiation and performance managementProven track record in branded fares or fare-family strategy, including pricing, segmentation, and merchandisingStrong understanding of digital merchandising principles, including UX considerations and A/B testingAdditional InformationEtihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.To learn more visit www.etihad.comRecruitment Fraud AlertBeware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

About MistralAt Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across global hubs including France, the USA, the UK, Germany, and Singapore, with growing activity in Abu Dhabi and the wider MENA region.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers.About The Job:Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.What You Will Do Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycleHow We Work In Applied AI We care about people and outputs What matters is what you ship, not the time you spend on it Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week Always ask why. The best solutions come from deep understanding, not from copying what worked before We say what we mean. Feedback is direct, timely, and given because we care No politics. Low ego, high standards We embrace an unstructured environment and find joy in itAbout You You are fluent in English You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus You have strong software engineering skills, including API design, backend/full-stack development, and system architecture You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talentIdeally, you have: Contributed to open-source projects, particularly in the LLM or AI space Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption A track record of driving technical strategy and influencing product direction based on customer needs and market opportunitiesWhy join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!Why join us?You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

We are looking for a Director / Head Senior ML Engineer Level 1 (Freelance) to join Shiventech Labs in Abu Dhabi. About the Role You will play a key role in building and scaling Data Engineering systems that drive real business value. Working alongside talented engineers and researchers, you will bring expertise in 25 years of experience to solve challenging problems. Key Responsibilities • Design, build and maintain Data Engineering solutions using 25 years of experience • Collaborate with engineering and product teams to deliver production-ready Data Engineering systems • Evaluate and integrate emerging tools and techniques relevant to 25 years of experience • Translate business requirements into robust technical implementations • Drive code quality, testing standards and documentation across the team Requirements • Proficiency in 25 years of experience • Strong communication skills and ability to work cross-functionally • Passion for Data Engineering and staying current with the