Machine Learning Operations Engineer

Job Summary

A company is looking for a Machine Learning Operations Engineer.

Key Responsibilities

• Implement MLOps tools, frameworks, and platforms for ML development, deployment, and governance
• Create and maintain a repeatable ML workflow for model training, evaluation, deployment, and maintenance
• Engage with data engineers and data scientists to improve tracking and monitoring of models and resolve ML workflow issues

Required Qualifications

• 3+ years of experience with Python in production and ETL settings
• 2+ years of building Data or MLOps pipelines using Python, Airflow, Databricks, or similar services
• 2+ years of experience with AWS, Vertex AI, and Kubernetes
• 1+ years of experience managing Docker, Kubernetes, Spark, CI/CD, and Git-Ops
• B.S. in a relevant field (e.g., Computer Science, Mathematics, Engineering)