MLOps Developer

Project description

Are you passionate about computer graphics and high-performance computing? Would you like to have hands-on experience with state-of-the-art HW, sometimes even before others get a chance?

We are looking for an experienced ML Ops Engineer or Dev Ops to contribute to deploy, maintain, and develop automation and infrastructure systems for major hardware vendor.

Responsibilities

• Your responsibilities will be focused around supporting local Data Engineering, Software Infrastructure and Research teams:
  
  - Build tailored automation systems for teams of ML developers,
  - Facilitate collaboration between Data Engineering, ML Research and Software Infrastructure teams,
  - Implement new helper tools, focusing on practical deployment and cost/resource management,
  - Take ownership of assigned deliverables from inception to completion, demonstrating accountability and responsibility for meeting project milestones.

SKILLS

Must have

• Decent understanding of Unix/Linux
  - Decently experienced in either Slurm or Kubernetes (both preferred; should be able to setup, configure, manage and expand the clusters as needed)
  - Can work with Bash, JS and Python with at least good experience in one of them
  - Experienced with GraphQL and Rest API (throttling, caching, on client side using redis, custom solutions etc.)
  - Experienced with Ansible, Terraform or Pulumi, Docker, Helm

Nice to have

Experience with ML Frameworks
- Technical academin degree in IT or related
- General MLOPs pipeline expertise