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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