The Senior Battery AI ML Engineer is responsible for developing data-driven models and algorithms to optimize battery performance and management systems, collaborating with a team to design battery packs and deploy advanced battery algorithms using AI and big data technologies.
Key Responsibilities
Build data-driven battery models using electrochemical knowledge and test data
Develop battery BMS algorithms for state estimation and behavior prediction
Create solutions to optimize battery performance, including charging, discharging, and cycle life
Develop, deploy, test, and maintain battery algorithms within a team
Design battery pack configurations based on model requirements, including sensor placement
Requirements
Master degree or above in machine learning, AI, and big data related education background
More than five years of battery related work experience, familiar with battery pack design and data
Familiar with various battery related models algorithms
Experience in battery management system BMS algorithm development
Practical experience based on AI, big data battery algorithm, and cloud BMS