Senior MLOps Engineer - Freelancer
Job Description
Monterail is seeking a Senior MLOps Engineer to join their team as a freelancer. This is a remote position with flexibility in working hours, though candidates must be located within the Central European/Eastern European time zones (maximum 4-hour difference). The role focuses on managing and optimizing machine learning operations, requiring expertise in Docker, Kubernetes, and various ML deployment tools. The position is structured as a B2B contract, ideal for professionals with their own business entity. The role involves working with experiment tracking and model registry tools, implementing ML lifecycles, and ensuring efficient deployment of machine learning models. Candidates should have strong technical skills in MLOps practices and be comfortable working in a remote environment while maintaining close collaboration with the team.
Responsibilities For Senior MLOps Engineer - Freelancer
- Implement and manage machine learning lifecycles
- Handle model deployment practices
- Work with experiment tracking and model registry tools
- Manage containerization using Docker and Kubernetes
Requirements For Senior MLOps Engineer - Freelancer
- Must have a one-person company (individual entrepreneur)
- Must be located in Central European/Eastern European Time Zone (no more than 4 hours time difference)
- Experience with Docker and Kubernetes
- Knowledge of machine learning lifecycle and model deployment practices
- Experience with experiment tracking and model registry tools
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