Battery AI/ML Engineer
Core
Build data-driven battery models and algorithms for state estimation, life prediction, and BMS optimization using electrochemical knowledge and test data.
Role type
Machine learning engineer specializing in battery systems
Builds
Battery management system algorithms and digital twin models
Domain
Energy storage / Electrochemistry / Battery technology
Deliverable
production ML models
Required skills
Machine learning, AI, big data, battery data analysis, BMS algorithm modeling, physical model building (P2D), digital twin development
Preferred skills
Battery physical model building (P2D), digital twin development
Technologies
P2D model, digital twin
Responsibilities
Build data-driven battery models, develop state estimation algorithms (SOC, SOH, SOP), develop behavior prediction methods (residual life, safety), provide BMS solutions for performance optimization, deploy and maintain battery algorithms, write technical documents