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The Chief Artificial Intelligence Officer will define and drive the organization's overarching AI vision, translating cutting-edge artificial intelligence, machine learning, and generative capabilities into scalable, enterprise-grade business growth. Job Responsibilities will include:Formulate and execute a holistic enterprise AI strategy aligned with company growth goals and regional digital transformation initiatives across the GCC.Oversee the end-to-end lifecycle of AI products and models, from ideation and infrastructure selection (build vs. buy) to full-scale deployment and integration.Define robust regulatory compliance, data privacy, and ethical AI frameworks to mitigate risk, ensuring compliance with global and regional data sovereignty standards.Collaborate closely with executive leadership (CEO, CTO, CIO) to identify, prioritize, and embed high-impact AI use cases across business units.Direct investments in foundational models, high-performance computing, cloud infrastructure, and data pipelines to maintain scalable and cost-effective AI capabilities.Cultivate a world-class team of AI researchers, ML engineers, and data scientists while nurturing strategic alliances with leading global tech vendors and research institutes.Key Skills & Qualifications Required:Must have advanced degree (Master’s or Ph.D. preferred) in Computer Science, Artificial Intelligence, Machine Learning, or related fields, with mastery over LLMs, computer vision, data architecture, and MLOps.Must have 15+ years of progressive technology leadership experience with international experience, including a proven track record of minimum 4 years in scaling enterprise AI/ML initiatives from technical concept to commercial execution.Exceptional capability to bridge technical complexity with high-level business strategy, ROI optimization, risk management, and organizational change management.Strong grasp of GCC tech ecosystem dynamics, regional AI mandates, digital transformation roadmaps, and local data residency and sovereignty requirements.

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 DescriptionSia is seeking a motivated and analytical UAE National with a background in Data Science, Artificial Intelligence, or related fields to join our consulting team in the Middle East. This role is ideal for fresh graduates or candidates with up to 1 year of experience who are passionate about leveraging data and AI to solve complex business challenges.You will work closely with senior consultants and clients to support strategy development, data analysis, AI use-case identification, and digital transformation initiatives.Key ResponsibilitiesSupport consulting engagements across strategy, digital transformation, and AI initiativesAnalyze structured and unstructured data to generate actionable insightsAssist in identifying AI and automation opportunities for clientsDevelop dashboards, reports, and presentations for client stakeholdersConduct market research, benchmarking, and industry analysisSupport development of business cases for AI-driven solutionsParticipate in client meetings and workshopsPrepare high-quality presentations and documentationQualificationsUAE National Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Engineering, or related field0–1 year of experience (consulting exposure preferred)Strong analytical and problem-solving skillsBasic understanding of machine learning concepts and data modelingFamiliarity with tools such as Python, SQL, Power BI, Tableau, or similarStrong communication and presentation skills (Arabic & English is a must)High motivation to build a career in management consultingAdditional 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.

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

Job title: Machine Learning Engineer 1Location: Dubai, UAEAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a (add title) who can help us move even faster.noon’s mission: Every door, every day.What you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. As a Machine Learning Engineer (MLE1), Ads, you will be a core individual contributor responsible for the hands-on design, development, and deployment of production-grade Machine Learning models across our Ads division. You will be responsible for delivering high-impact models and deployments that power critical functions like ranking, bidding, and click-fraud detection.This role is deeply technical; you will partner with Product and Engineering teams across noon Ads to turn complex data into competitive advantagesDeeply engage in the technical work: building, training, and deploying production-grade models across our domainsContribute to solving "hard" problems involving relevance, ranking, bidding optimization, and fraud detectionPartner with the broader engineering team to implement optimal deployment strategies for heavy ML workloadsAdhere to and contribute to the standardization of ML Ops and best practices within the teamWhat you'll need:Experience: hands-on experience or relevant internships in Machine Learning or data science is preferredFoundational Knowledge: Strong academic or practical grounding in core machine learning concepts, statistics, and data structuresCoding & Frameworks: Proficiency in Python and familiarity with standard ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) and SQLGrowth & Collaboration: Eagerness to learn from senior engineers, collaborate across product and engineering teams, and rapidly ramp up on MLOps best practicesTech Stack: Basic exposure to cloud platforms (like GCP) and data processing pipelines.

Eurisko is looking for AI Engineers and Data Scientists with hands-on experience in Microsoft Azure, Kubernetes, and Databricks for opportunities in Dubai.We’re seeking professionals who can turn business challenges into practical AI solutions—from preparing data and developing models to deploying reliable applications in production.AI Engineers - Key ResponsibilitiesDesign and develop AI applications, including generative AI solutions, intelligent assistants, and retrieval-augmented generation (RAG) systems.Build APIs and services that integrate AI models into enterprise applications.Deploy and manage containerized AI workloads on Azure using Docker and Kubernetes.Use Databricks to support data processing, experimentation, and machine learning workflows.Improve solution quality, reliability, response times, and deployment processes through evaluation, monitoring, and automation.Data Scientists - Key ResponsibilitiesExplore and analyze data to identify patterns, generate insights, and address business needs.Develop, validate, and refine predictive models using machine learning and statistical methods.Use Databricks for data preparation, feature engineering, experimentation, and model development.Define meaningful evaluation metrics and communicate findings clearly to technical and business stakeholders.Collaborate with engineering teams to deploy models and monitor their performance in production.Required Skills & ExperienceMicrosoft Azure: Practical experience working with cloud services for AI, machine learning, and data workloads.Databricks: Hands-on experience with data processing and machine learning workflows, including Spark or PySpark.Kubernetes: Experience working with containerized applications or machine learning workloads, alongside Docker.Python and SQL: Strong programming and data manipulation skills.Experience with relevant machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.Understanding of model evaluation, data quality, version control, and reproducible development practices.Strong problem-solving skills and the ability to collaborate across engineering, data, and business teams.Additional AdvantagesExperience with MLflow, MLOps, CI/CD, and model monitoring.Experience with LLMs, prompt evaluation, vector databases, and RAG.Familiarity with secure enterprise environments and data governance.Relevant Azure or Databricks certifications.

We're partnered with an organisation looking for a Director of AI to lead the design, development, and deployment of AI capabilities across the business. This isn’t a role for someone who has only adopted off-the-shelf AI tools. They want a hands-on technical leader who has built AI systems from the ground up and taken them into production.This is a chance to shape AI strategy at a senior level while staying close to the technology, and to make a real impact in a fast-moving international environment.The RoleDefine and drive the organisation’s AI strategy, roadmap, and prioritiesLead the architecture, development, and deployment of AI and machine learning solutions, from prototype through to production at scaleBuild, mentor, and grow a high-performing team of AI/ML engineers and data scientistsWork with executive leadership and business stakeholders to find high-value AI opportunities and turn them into working productsSet best practices for model development, evaluation, MLOps, governance, and responsible AIStay current with advances in AI and judge when to build, buy, or partnerWhat We’re Looking ForProven track record of building AI/ML systems: designing, training, fine-tuning, and deploying models in production environmentsDeep technical expertise in areas such as machine learning, deep learning, NLP, LLMs, or computer visionHands-on experience with modern AI frameworks and infrastructure (e.g. PyTorch, TensorFlow, cloud ML platforms, MLOps tooling)Senior leadership experience, including building and managing technical teamsInternational exposure. Experience working in markets such as the US, UK, or Singapore is highly desirableAbility to explain complex technical concepts clearly to non-technical stakeholdersWillingness and enthusiasm to relocate to [Location]What’s on OfferA senior leadership role with genuine influence over AI directionCompetitive salary and benefits packageFull relocation supportThe opportunity to build something meaningful from the ground upInterested?If you’re an AI builder who wants to lead, we’d love to hear from you