Role
- Manage the global AI Training environment (Servers/ Data center) that dynamically allocates compute and GPU resources based on model training requirements.
- MLOps platform for model tracking, cataloging, and deployment using tools such as MLFlow and KServe.
- Dashboard development to show the servers / environment
- Admin on AWS cloud and on-premises system, including usage tracking and billing through a chargeback model.
- Technical support on server
What are the mandatory skills
- Unix / Linux & Windows Server Admin experience in Data Center and Servers
- Familiarity with containerized environments, Kubernetes/Docker, and Rancher.
- Experience with virtual machines (VMs), containerized systems, and cloud infrastructure basics (AWS).
- Scripting in Server admin role
Good to have
- Python, SQL, NodeJS, and web services design/development.
- messaging services such as RabbitMQ and Kafka.
Level of experience required
Working hours
- Normal, but need to attend night call according project need (Global project with US team)
