Senior MLOps Engineer

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 Dev Ops 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