Lead ML Engineer & Platform Architect (Scale & Governance)

Discovered MENA; Abu Dhabi; On-site; AED 420,000 - 700,000; Full time

Job summary

Discovered MENA in Abu Dhabi seeks a Lead Machine Learning Engineer to supervise the Machine Learning Engineering (MLE) and MLOps teams, defining Hub approach for deploying and maintaining ML models and agents.

You will drive governance, quality control, and scalable production systems, partnering with data science and platform teams to translate research into robust, compliant AI solutions.

Qualifications

• 8–12+ years in software engineering or ML roles.
• At least 3+ years in engineering management or technical leadership.
• Experience scaling AI products to production under regulatory standards.
• Strong modeling and systems design across DL, LLMs, and agent frameworks.

Responsibilities

• Lead, mentor, and scale a team of Machine Learning Engineers and MLOps Engineers, managing career growth and aligning delivery schedules.
• Architect the enterprise AI platform roadmap to support transitions from experimentation to automated production operations.
• Collaborate with data science teams to translate models into robust deployed systems and orchestrate resource allocation.
• Collaborate with platform teams to establish ML quality control and release standards with rigorous rollback, canary deployments, and automated verification.
• Enforce governance for model compliance, bias checks, explainability, audit trails, and security protocols.

Skills

Engineering leadership

ML modeling

MLOps

Deep learning

Education

Bachelor's degree in CS or related

Master's or PhD preferred

Tools

TensorFlow

PyTorch

MLflow

Kubernetes

Job description

Discovered MENA in Abu Dhabi seeks a Lead Machine Learning Engineer to supervise the Machine Learning Engineering (MLE) and MLOps teams, defining Hub approach for deploying and maintaining ML models and agents.

You will drive governance, quality control, and scalable production systems, partnering with data science and platform teams to translate research into robust, compliant AI solutions.