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Senior MLOps Engineer

Location: Remote
Compensation: Hourly
Reviewed: Wed, Sep 16, 2026
This job expires in: 30 days

Job Summary

To support the development and deployment of machine learning solutions, the remote contract Senior MLOps Engineer will design and maintain scalable MLOps platforms, automate CI/CD workflows, and collaborate with cross-functional teams to ensure production-ready applications.

Key responsibilities
  • Design, develop, and maintain scalable MLOps platforms and pipelines for machine learning model lifecycle management
  • Build and automate CI/CD workflows for machine learning models and related applications
  • Deploy, monitor, and maintain machine learning models in cloud-based production environments
Required qualifications
  • Hands-on MLOps experience with production ML pipelines
  • Experience building CI/CD pipelines and working with Git/GitHub
  • Strong understanding of ML model lifecycle management, deployment, monitoring, and automation
  • Proficient in Python programming and software engineering
  • Experience with REST APIs/microservices and containerization technologies like Docker

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