Lead Machine Learning Engineer

Role: Lead Machine Learning Engineer

Department: AI Hub Innovation

Location: Abu DhabiJob PurposeSupervise, inspire, and lead both the Machine Learning Engineering (MLE) and MLOps teams todefine Hub approach of deploying and maintaining ML models and agents and championengineering excellence.Key Responsibilities

• Lead, mentor, and scale a team of Machine Learning Engineers and MLOps Engineers,managing career growth, standardizing practices, and aligning delivery schedules.
• Architect the enterprise AI platform roadmap to support seamless transitions fromexperimental modeling to highly automated, scale-out production operations.
• Collaborate with data science teams to translate models into robust scalable deployedsystems and orchestrate resource allocation.
• Collaborate with platform teams to establish ML quality control and release standards forall AI assets, defining rigorous protocols for rollbacks, shadow testing, canary deployments,and automated verification.
• Enforce strict institutional governance for model compliance, bias checks, explainabilityframeworks, audit trail maintenance, and security protocols.Qualifications / Experience
• (8-12+) years of active experience in software engineering, ML modeling, or MLOps, with atleast (3+) years in a direct engineering management or technical leadership role.
• Proven success scaling AI products from initial prototypes to high-throughput, mission-critical production environments under strict regulatory standards.
• Dual fluency in modeling and systems design, holding deep competence across deeplearning (LLMs, Agentic frameworks, RAG) and scalable systems.
• Familiar with security patterns within highly regulated industries (e.g., banking/finance).
• Minimum Educational qualifications: Bachelor’s degree in Computer Science, Engineering,or related field required.
• Preferred Education qualifications: Master or PhD in Computer Science or a related field.