Sr. MLOps Engineer

About the job
This role is for a Senior MLOps Engineer based in Abu Dhabi, requiring over 10 years of experience in DevOps with a focus on MLOps environments. The successful candidate will be responsible for designing, provisioning, and maintaining GPU-enabled infrastructure for AI and LLM workloads, either on-premises or cloud-based. You will also be tasked with configuring and managing predominantly Linux-based operating systems to ensure optimal performance and security, while implementing container orchestration strategies to achieve high availability, fault tolerance, and scalability.

Job Responsibilities

• Design, provision, and maintain GPU-enabled infrastructure for AI/LLM workloads.
• Configure and manage operating systems (primarily Linux-based) for optimal performance and security.
• Implement container orchestration strategies to ensure high availability, fault tolerance, and scalability.

Job Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• 10+ years of experience in DevOps, preferably with significant exposure to MLOps environments.
• Hands-on experience with GPU infrastructure setup and management.
• Strong expertise in Linux system administration.
• Proficient in Docker and Kubernetes, including cluster setup and management.
• Familiar with CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, and GitLab CI.
• Experience with cloud platforms, preferably Azure; AWS or GCP acceptable.
• Familiarity with Infrastructure as Code (IaC) tools including Terraform, ARM, or CloudFormation.
• Strong scripting skills in Python and Bash.
• Experience with monitoring tools such as Prometheus, Grafana, or the ELK stack.