Machine Learning Engineer Tech Lead
Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:Data wrangling – supporting and enabling data requirements for research, training, validation, and testing.End-to-end ML delivery – enabling model performance development, training, validation, testing, and version control.Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.Build … Read more





