MLOPS (GPU Efficiency & Optimization)

  • Posted 3 hours ago | Updated 3 hours ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 48 Month(s)

Skills

MLOPS
GPU Efficiency & Optimization

Job Details

Position: MLOPS (GPU Efficiency & Optimization)

Location: Remote

Duration: Contract C2C

Job Description:

Deep understanding of GPU efficiency & GPU optimization, Operate, monitor, and triage all aspects of our production and non-production environments. Automate deployment and orchestration of services into the cloud environment as well as other routine processes. Work on multiple cloud environment like AWS and Google Cloud Platform.

Actively participate in capacity planning, scale testing, and disaster recovery exercises.

Interact with and support partner teams, including Engineering, QA, and program management.

Troubleshoot customer concerns for ML Tuning and inference endpoints on Ray.

Designing and implementing RESTful/RPC API and services using Golang OR Python.

Implement SLO/SLI, error budget reporting for various customers

Thanks,

Nitesh

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