Sr. MLOps Engineer
Job Description & How to Apply Below
- Design, provision, and maintain GPU-enabled infrastructure (on-premises or cloud-based) for AI/LLM workloads.
- Configure and manage operating systems (primarily Linux-based) for optimal performance and security.
- Implement container orchestration strategies for high availability, fault tolerance, and scalability.
- Bachelor s or master s degree in computer science, Engineering, or related field.
- 10+ years of experience in Dev Ops, with strong exposure to MLOps environments.
- Hands-on experience with GPU infrastructure setup and management.
- Strong expertise in Linux system administration.
- Proficiency in Docker and Kubernetes (cluster setup and management).
- Experience with CI/CD tools (Azure Dev Ops, Jenkins, Git Hub Actions, Git Lab CI).
- Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
- Familiarity with Infrastructure as Code (IaC) tools (Terraform, ARM, Cloud Formation).
- Experience with monitoring tools (Prometheus, Grafana, ELK stack, etc.).
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