MLOPS

  • Austin, TX
  • Posted 19 hours ago | Updated 19 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

MLPOS
GPU

Job Details

Position: MLOPS (GPU Efficiency & Optimization)

Location: Austin, TX/Sunnyvale, CA

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.