MLOps Engineer - job 2 of 8

Job Summary

A company is looking for an MLOps Engineer to manage the end-to-end lifecycle of production machine learning models.

Key Responsibilities

• Design and implement CI/CD pipelines for model training and inference
• Standardize model packaging and deployment strategies with automated rollbacks
• Monitor model performance and implement data validation and alerting systems

Required Qualifications

• 4+ years of experience in MLOps or DevOps for data/ML systems
• Hands-on experience with Google Cloud Platform services such as BigQuery and Cloud Run
• Proficiency in Python and experience with Docker and CI/CD processes
• Solid SQL skills and understanding of data modeling for ML features
• Experience with monitoring production models and incident response