Data & AI Senior Specialist - Emiratisation (1 year extendable)

Job SummaryWe are seeking an experienced Data & AI Senior Specialist to design, develop, and deliver enterprise AI and data solutions that support business transformation. This is a hands-on technical role responsible for building scalable data platforms, AI applications, machine learning models, and advanced analytics solutions while providing technical leadership and mentoring team members. The ideal candidate will have strong expertise in data engineering, cloud technologies, AI/ML, and Generative AI, with the ability to translate business requirements into innovative, production-ready solutions.Key ResponsibilitiesDesign, develop, and maintain enterprise data platforms, data pipelines, data warehouses, and AI-driven solutions.Build, deploy, monitor, and optimize machine learning models, Generative AI applications, and advanced analytics solutions.Write production-quality code, develop prototypes, troubleshoot complex technical issues, and support critical AI and data systems.Define data architecture, engineering standards, AI frameworks, and best practices for coding, testing, security, MLOps, and data governance.Evaluate emerging technologies and provide recommendations on architecture, platforms, and technical solutions.Collaborate with business stakeholders to identify AI opportunities, define solution requirements, and deliver measurable business value.Present technical updates, risks, and recommendations to senior stakeholders.Mentor technical team members through code reviews, technical guidance, and knowledge sharing.Ensure compliance with data governance, information security, privacy regulations, and responsible AI practices.Drive continuous improvement in data quality, AI governance, and operational excellence.RequirementsBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field (minimum 6 years' experience), or a Diploma with minimum 7 years' experience in Data Engineering, Data Science, Artificial Intelligence, or related disciplines.Proven experience delivering enterprise AI, machine learning, and data engineering solutions in production environments.Strong hands-on experience with Python, advanced SQL, machine learning, deep learning, NLP, Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).Experience designing scalable ETL/ELT pipelines, enterprise data platforms, and cloud-based solutions using Azure, AWS, GCP, or OCI.Knowledge of MLOps, CI/CD, containerization, model deployment, monitoring, and data governance practices.Strong analytical, problem-solving, stakeholder management, and communication skills.Experience mentoring technical teams and working collaboratively across business and technology functions.