Machine Learning Operations Engineer

Job Summary

A company is looking for a Machine Learning Operations Engineer.

Key Responsibilities

• Design and build scalable ML infrastructure to support model training, evaluation, and deployment
• Develop and maintain containerized environments using Docker and Kubernetes
• Implement and maintain ML lifecycle tooling and production inference systems

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience
• 5+ years of experience in software engineering, DevOps, or MLOps roles
• Strong proficiency in Python and experience building production-grade systems
• Hands-on experience with Docker, Kubernetes, and distributed systems
• Experience working with cloud-based data platforms such as Snowflake