Senior MLOps Engineer

Job Summary

A company is looking for a Senior ML Engineer (MLOps) for their Risk Team.

Key Responsibilities

• Evaluate and implement Feature Store solutions, designing architecture and feature lifecycle processes
• Design, build, and maintain ML training and deployment pipelines, ensuring versioning and validation standards
• Select tools and set up monitoring for model quality and feature health, defining alerting and response processes

Required Qualifications

• 3+ years of experience in ML Engineering, Data Engineering, or DevOps with production ML systems
• Experience building ML training pipelines with experiment tracking and model registry tools
• Understanding of feature store concepts and train-serve consistency challenges
• Strong Python skills and familiarity with ML frameworks for packaging and serving models
• Experience with Docker and ML pipeline orchestration tools