MLOps Engineer - job 1 of 8

Job Summary

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

Key Responsibilities

• Design and implement CI/CD and scheduled pipelines for model training and inference
• Standardize model packaging and deployment strategies with automated rollbacks
• Implement monitoring and quality assurance processes for data and model performance

Required Qualifications

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