Senior MLOps Engineer: Scalable AI Infra & Deployment

Institute of Foundation Models; Abu Dhabi; On-site; AED 60,000 - 80,000; Full time

Job summary

A leading research institution in Abu Dhabi seeks a Senior MLOps Engineer. The role involves designing and maintaining ML infrastructure and deploying models in Kubernetes-based environments. Candidates should have 4+ years in MLOps, be proficient in Kubernetes and AWS services, and excel in collaboration with ML teams. This position offers the opportunity to work on cutting-edge AI systems and contribute to innovative solutions.

Qualifications

• Experience with model lifecycle management, data pipelines, and observability tools.
• Deep hands-on experience with Kubernetes, AWS services, and MLOps toolchains.
• Excellent collaboration skills with ML researchers and software engineers.

Responsibilities

• Design and manage scalable ML infrastructure on AWS using EKS.
• Build and maintain Kubernetes deployments for LLM and TTS inference.
• Implement and optimize model serving pipelines for high-throughput inference.

Skills

Kubernetes

Helm

AWS cloud infrastructure

Python

CI/CD pipelines

AI frameworks familiarity

Education

4+ years experience in MLOps or related field

Tools

Docker

Terraform

Git

Job description

A leading research institution in Abu Dhabi seeks a Senior MLOps Engineer. The role involves designing and maintaining ML infrastructure and deploying models in Kubernetes-based environments. Candidates should have 4+ years in MLOps, be proficient in Kubernetes and AWS services, and excel in collaboration with ML teams. This position offers the opportunity to work on cutting-edge AI systems and contribute to innovative solutions.