Machine Learning Operations (mlops) Engineer

Jobgether

Us
On-site
Designing and operating infrastructure
Seamless model training, deployment, and monitoring
Automation of end-to-end ml workflows
This position is posted by Jobgether on behalf of a partner company

Job Summary

  • This position is posted by Jobgether on behalf of a partner company.
  • You will be responsible for designing and operating the infrastructure that enables seamless model training, deployment, and monitoring across high-impact products.
  • The environment is fast-paced, highly technical, and centered on building scalable systems that support real-world production AI use cases.

Matching Summary

This position is posted by Jobgether on behalf of a partner company.

Skills & Requirements

Must-have

  • designing and operating infrastructure
  • seamless model training, deployment, and monitoring
  • automation of end-to-end ML workflows
  • improving developer experience
  • building scalable systems

Nice-to-have

  • working at the intersection of software engineering, DevOps, and machine learning
  • fast-paced, highly technical environment

Key Requirements

  • Machine Learning Operations (MLOps) Engineer
  • United States

Work Rights

Not specified

Tailored Resume

Cover Letter