Job Description
Responsibilities
- 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.
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.
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