Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability
Job Summary
Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability.
Own model development end-to-end, including problem framing, feature strategy, model selection, training, evaluation, and iteration based on business and technical metrics.
Work closely with the MLOps team to productionize models with strong engineering rigor, including CI/CD, model registries, reproducible training, automated testing, monitoring, and retraining triggers.
Matching Summary
Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability.
Skills & Requirements
Must-have
Applied machine learning team leadership
End-to-end model development
MLOps and data platform partnership
Productionizing ML models
Responsible AI practices
Nice-to-have
Continuous improvement culture
Innovation for tangible impact
Belonging and unique viewpoint
Harnessing Danaher's system
Key Requirements
10+ years applied ML/data science experience
4+ years people leadership experience
Bachelor's degree in CS, engineering, or data science