Internship - Development of AI Assistant for Automotive Package R&D

The student, under the guidenance of supervisor, will support further development ad demonstration of proof of concept of an AI assistant for automotive package R&D to support digitalization and automation of R&D processes for improved R&D efficiency. The student will work with data scientist to develop the AI assistant powered by LLM via API to explore knowledge RAG approach and agentic approach to support fast accurate retrieval and analysis of relevant R&D information based on user query, recommend best packages based on domain knowledge/rules, auto-generate change/gap for development, identify and predict high risk items/failure modes and recommend countermeasures based on domain knowledge/similar failure root causes.
Your Role
Key responsibilities in your new role

• Work with data scientists to understand and streamline existing business workflow and dataset pipeline, integration and challenges
• Learn how to design, explore tech stack using LLM in RAG system for automotive package R&D processes and domain use cases & challenges/possible solutions
• Explore development agentic AI concept to improve business work flow process and productivity

Internship Learning Outcomes:

• Technical learning outcomes:
  - Develop the technical skills to design and explore AI assistant in automotive package R&D process.
• Non-technical:
  - Understanding of automotive semiconductor R&D processes
  - Teamwork in MNC cultures and working with data scientist
  - Exposure to industry AI/ML development process, application and tool

Your Profile
Qualifications and skills to help you succeed

• On track to attaining Bachelors in Data Science, Computer Science, or any relevant field.
• Knowledge and experience in intermediate python programming, LLM models, RAG using API and agentic AI development
• Good communication skill, like new challenges/creative thinking, team player.
• Preferred Internship Period: Jun 26 - Dec 26

#WeAreIn for driving decarbonization and digitalization.
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