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AI ML Engineer for Manufacturing Large Model Downstream

SES
Shanghai, China
Full Time
Posted November 14, 2024
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Job Description

This role involves developing and optimizing AI models for battery manufacturing applications, including quality assessment, process optimization, and design generation, utilizing machine learning and deep learning techniques to analyze complex multi-modal data and support cross-functional teams.

Key Responsibilities

  • Collaborate with senior AI/ML engineers to develop downstream applications based on multi-modal battery large models
  • Develop and optimize specific application models such as cell quality assessment, production process, and performance prediction models
  • Implement and optimize data processing pipelines to ensure data accuracy and consistency for model development
  • Apply machine learning and deep learning techniques for training, validation, and optimization of models
  • Analyze complex data sets, extract key features, and improve model performance and application effectiveness
  • Assist cross-functional teams in understanding business requirements and developing technical implementation plans
  • Track technological advancements and incorporate cutting-edge methods to enhance model applications

Requirements

  • 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.
  • Familiar with machine learning and deep learning algorithms.
  • 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.

Benefits & Perks

Compensation/salary range not specified
Work schedule not specified
Work environment perks not specified
Opportunities to work with cutting-edge AI and machine learning technologies
Collaborative team environment
Professional development through tracking latest technological advancements

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