Modeling and Data Pipeline Management:

• Train, finetune, and maintain deep learning and machine learning systems for EV battery services, from research to production. Consult with managers to determine and refine machine learning objectives.

• Construct data-optimized data pipelines to feed and support machine learning models.

• Implement automated, reproducible cloud infrastructure provisioning to build a scalable and reliable foundation for machine learning and data management.

Data Analysis and Visualization:

• Develop APIs and backend services to support data-driven applications and real-time data visualization.

Cross-Collaboration:

• Work with machine learning engineers to deploy models into production.

• Develop new features based on user feedback to continuously enhance our technology platform.