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ML Ops Engineer

Unlock employer Abu Dhabi, United Arab Emirates Posted: 27 Apr 2026

Financial

  • Estimate: $60k - $90k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job:
We’re Hiring: MLOps / LLMOps Engineer. As part of a cross-functional team of engineers, data scientists, and product owners, you’ll design, implement, and scale MLOps & LLMOps infrastructure to take machine learning models from development to production—seamlessly and efficiently. If you’re passionate about production-grade ML systems and cutting-edge LLM workflows, the company is the place for you.

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Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 3+ years of experience in MLOps / ML Engineering / Platform Engineering
  • Hands-on experience with Docker, Kubernetes, EKS
  • Good-to-have experience with LLMOps best practices (monitoring, drift detection, prompt management, feedback loops)
  • Familiarity with model optimization techniques (quantization, distillation, pruning)
  • Strong experience in monitoring, observability, and alerting for ML systems

Technical Skills:

  • Cloud: AWS
  • Orchestration: Kubernetes, EKS
  • Programming: Python
  • ML Frameworks: PyTorch / TensorFlow
  • Distributed Systems: Slurm, Ray
  • Hardware: Nvidia DGX
  • MLOps Tools: Kubeflow, MLflow
  • LLM Stack: LangChain, Chainlit, LlamaIndex

Key Responsibilities:

  • Build and manage containerized ML & LLM deployments using Docker & Kubernetes
  • Implement LLMOps practices for monitoring, drift detection, and continuous improvement
  • Optimize models for efficient inference on AWS
  • Design monitoring & observability systems for performance, latency, and resource usage
  • Lead prompt engineering and prompt management strategies
  • Collaborate with data scientists and engineers for seamless ML integration
  • Automate model versioning and deployment across environments
  • Design and maintain CI/CD pipelines for ML workflows
  • Ensure scalable, reliable, and efficient MLOps environments
  • Maintain strong documentation and operational standards
  • Stay up to date with emerging trends in MLOps & LLMOps

Soft Skills:

  • Strong problem-solving ability
  • Excellent communication and collaboration skills
  • Self-driven and proactive mindset

Work Conditions:
On-site, Full-time
Location:
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

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