ML Ops Engineer

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.

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