Ai/ml Engineer For Manufacturing Large Model (downstream)

Sesai

Shanghai, China
On-site
Multi-mode battery basic large model
Machine learning and deep learning
Python, tensorflow, pytorch
Sesai is seeking an AI/ML Engineer for Manufacturing to develop and optimize downstream applications for a multi-modal battery model. The ideal candidate should have a master's degree in a related field, at least three years of relevant experience, and proficiency in machine learning frameworks

Job Summary

  • 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, production process optimization, and cell design generative models.
  • Assist in implementing and optimizing data processing pipelines to ensure data accuracy and consistency to support downstream application development.

Matching Summary

Match Score: 85

Sesai is seeking an AI/ML Engineer for Manufacturing to develop and optimize downstream applications for a multi-modal battery model. The ideal candidate should have a master's degree in a related field, at least three years of relevant experience, and proficiency in machine learning frameworks.

Skills & Requirements

Must-have

  • multi-mode battery basic large model
  • machine learning and deep learning
  • Python, TensorFlow, PyTorch
  • tabular, time series, and image data

Nice-to-have

  • manufacturing or battery production experience
  • multi-modal data processing
  • cutting-edge methods

Key Requirements

  • Master's degree in CS, EE, Statistics
  • 3+ years of ML/AI experience
  • Proficient in Python, TensorFlow, PyTorch

Work Rights

Not specified

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