MLOPS Engineer (GPU Efficiency & Optimization)

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

ML
GPU efficiency
GPU optimization
RESTful/RPC API
SLO/SLI
Golang/ Python

Job Details

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

Cygnus Diversity, Inclusion & Equal Opportunity Commitment
We proudly promote equal opportunities and inclusive workplaces. All employment decisions are based on qualifications and project needs.

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About HPTech Inc.