AI Training Environment Developer

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

• 3 - 7 years

Working hours

• Normal, but need to attend night call according project need (Global project with US team)