Pleasanton, California
•
Today
Roles & Responsibilities Define the ML use case, success metrics, and evaluation criteria Liaise with business directly and translate business needs into an ML approach. Perform data exploration, data quality checks, feature engineering, and dataset preparation for training and testing. Build, train, validate, and iterate ML models compare experiments and select the best candidate model. Package the solution for production (e.g., containerized scoringservice endpoint) and support deployment with
Contract, Third Party
Depends on Experience