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.
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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.
