Lead ML Engineer: Production-Scale AI Systems

CNTXT AI

Abu Dhabi

On-site

AED 350,000 - 550,000

Full time

5 days ago
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Job summary

CNTXT AI in Abu Dhabi is seeking a Lead Machine Learning Engineer to design, build, and scale production-grade ML systems. You will own the end-to-end lifecycle from research and prototyping through deployment and monitoring, balancing performance with responsible AI practices.

You will collaborate with product, data, platform, and engineering teams to deliver robust ML-powered capabilities at scale. The role requires 7+ years of ML experience, strong Python skills, and a track record of

Qualifications

  • Bachelor’s or Master’s degree in CS/ML/DS or related field.
  • 7+ years of professional ML or AI experience.
  • Strong Python programming and data processing libraries.
  • Experience deploying ML models into production.
  • Solid software engineering principles and system design.
  • Experience working cross-functionally with product and engineering teams.

Responsibilities

  • Lead the design and development of ML models and ML-driven systems.
  • Own end-to-end ML pipelines, including data preparation, training, evaluation, deployment, and monitoring.
  • Translate business and product requirements into practical ML solutions.
  • Architect and maintain scalable, production-ready ML systems.
  • Establish ML engineering best practices, standards, and review processes.
  • Mentor and technically guide ML engineers and data scientists.
  • Collaborate with backend, platform, and DevOps teams on system integration and deployment.
  • Ensure model performance, reliability, security, and responsible AI practices.
  • Continuously evaluate and improve models using metrics, monitoring, and feedback loops.

Skills

Python
ML Deployment
Software Eng
Cross-functional teamwork
Data processing

Education

Bachelor’s or Master’s in CS/ML/DS

Tools

PyTorch
TensorFlow
Docker
Kubernetes

Job description

CNTXT AI in Abu Dhabi is seeking a Lead Machine Learning Engineer to design, build, and scale production-grade ML systems. You will own the end-to-end lifecycle from research and prototyping through deployment and monitoring, balancing performance with responsible AI practices.

You will collaborate with product, data, platform, and engineering teams to deliver robust ML-powered capabilities at scale. The role requires 7+ years of ML experience, strong Python skills, and a track record of

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