AI/ML Engineer for Manufacturing Large Model (Downstream)

• Cooperate with senior AI/ML engineers to develop downstream applications based on multi-mode battery basic large model. • Participate in the development and optimization of multiple specific application models, including cell quality assessment model, production process optimization model, cell design optimization model, cell performance prediction model and cell design generative model. • Assist in implementing and optimizing data processing pipelines to ensure data accuracy and consistency to support downstream application development. • Apply machine learning and deep learning technology for model training, verification and optimization. • Analyze and process complex data sets, extract key features to improve model performance and application effect. • Assist cross-functional teams to understand business requirements and develop corresponding technical implementation plans. • Continue to track the latest technological development and help introduce cutting-edge methods to improve the application effect of the model.

• Master's degree in computer science, electrical engineering, statistics or related field. • At least 3 years of practical working experience in machine learning or AI field, manufacturing or battery production experience is preferred. • Familiar with machine learning and deep learning algorithms, multi-modal data processing and application development experience is preferred. • Proficient in Python, TensorFlow, PyTorch and other commonly used machine learning frameworks and tools. • Have the ability to process tabular data, time series data and image data, and can apply these data to specific model development. • Good communication skills and team spirit, able to effectively work with cross-functional teams. • Good problem-solving skills and willingness to learn new technologies.