MLOps Engineer

Build and maintain ML infrastructure for model training, deployment, and monitoring. Enable data scientists to ship models faster and more reliably.

Requirements
  • 3+ years MLOps/DevOps experience
  • ML pipeline tools (MLflow, Kubeflow)
  • Model serving (TF Serving, Triton)
  • Feature store experience
  • Python and Kubernetes

Salary

1,500 - 3,500 USD

Hourly based

Remote Job

Worldwide

Job Overview
Job Posted:
5 days ago
Job Expire:
2 weeks from now
Job Type
Full Time
Job Role
Assistant Manager
Education
Master Degree
Experience
10+ Years
Total Vacancies
5-10

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Location

India