Senior GPU Infra Engineer MLOps & Kubernetes
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IT/Tech
Job Description & How to Apply Below
Cloud Data.
Center is hiring for a hands-on role to deploy and operate GPU infrastructure and platform environments that support AI workloads. You will manage cluster setup, networking, Kubernetes operations, and lifecycle support for client environments.
The role focuses on GPU server clusters, Infini Band/Ethernet networking, and Kubernetes with GPU integration to run AI workloads efficiently.
We have an opening for a Senior GPU Infra Engineer for MLOps & Kubernetes in United States within IT & Technology.
The advertised compensation is 140..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Senior GPU Infra Engineer for MLOps & Kubernetes role in the description above.
We appreciate your interest in this position.
Join Cloud Data.
Center and contribute to our ongoing work.
Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
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