Lead Machine Learning Engineer X Abu Dhabi On site

Discovered MENA; Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

Discovered MENA in Abu Dhabi is seeking a Lead Machine Learning Engineer to build and scale an AI COE. You will lead a team of ML and MLOps engineers, shaping the enterprise AI platform from prototyping to production, and work with data science and platform teams to deliver robust, governed AI solutions.

The role emphasizes governance, bias checks, explainability, and security within tightly regulated environments, with a clear path from experimentation to scalable deployment across functions.

Qualifications

• 8–12 years of active software ML or MLOps experience.
• Proven success scaling AI products in production environments.
• Dual fluency in modeling and systems design (DL/LLMs).
• Familiarity with security patterns in regulated industries.

Responsibilities

• Lead, mentor, and scale a team of ML and MLOps engineers.
• Architect enterprise AI platform roadmap for production scaling.
• Collaborate with data science to deploy robust, scalable solutions.
• Collaborate with platform teams on ML quality controls and releases.
• Enforce governance for model compliance, bias checks, and explainability.

Skills

Leadership & Mentoring

Deep Learning & LLMs

MLOps & Scalable Systems

Governance & Security

Education

Bachelor's degree in CS/Engineering

Master's or PhD preferred

Job description

Abu Dhabi, On Site (You must relocate to Abu Dhabi for this position)

I’m hiring for a Lead Machine Learning Engineer for our multi national client that is building an AI COE in Abu Dhabi.

They are working on moving from experimentation to scaled deployment across the group.

In this position you will be working on accelerating the deployment of AI and advanced analytics across core functions, moving from pilot initiatives to scaled, enterprise wide implementation.

You will be working on reshaping the way the group designs and delivers its services working with teams to turn emerging AI capabilities into practical solutions.

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 from experimental modeling to highly automated, scale-out production operations.
• Collaborate with data science teams to translate models into robust scalable deployed systems and orchestrate resource allocation.
• Collaborate with platform teams to establish ML quality control and release standards for all AI assets, defining rigorous protocols for rollbacks, shadow testing, canary deployments, and automated verification.
• Enforce strict institutional governance for model compliance, bias checks, explainability frameworks, audit trail maintenance, and security protocols.

Qualifications / Experience

• 8 - 12 years of active experience in software engineering, ML modeling, or MLOps, with at least 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 deep learning (LLMs, Agentic frameworks, RAG) and scalable systems.
• Familiar with security patterns within highly regulated industries
• Bachelor’s degree in Computer Science, Engineering, or related field required.
• Preferrably a Master or PhD in Computer Science or a related field.