• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools • Run machine learning tests and experiments, and document findings and results • Train, retrain, and monitor machine learning systems and models as needed • Consult with managers to determine and refine machine learning objectives • Extend existing machine learning libraries and frameworks • Assist team leads in identifying multiple emerging tech initiatives running in parallel related to such technologies as AI, ML, Blockchain and agile tooling • Maintain and upgrade existing team-developed software tools • Perform as a hands-on developer to implement solutions