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Mandatory Internship Automating High-Speed PCB Material Databases Using AI and Data Engineering(m/w/x)
Building document understanding pipelines for high-speed PCB material databases at a global engineering and technology company. Experience with automation, data processing, LLMs, Python, Git, Linux required. Permanent internship contact, flextime.
Requirements
- Studies in Electrical Engineering, Physics, Computer Science, Data Science, or comparable field
- Experience with automation, data processing, LLMs, Python, Git, Linux
- Structured approach to tasks and independent solution development
- On-site presence required
- Very good English skills
- English language skills
- University enrollment
- CV
- Transcript of records
- Enrollment certificate
- Examination regulations
- Valid work and residence permit (if indicated)
Tasks
- Develop a document understanding pipeline
- Implement ML/LLM for parameter extraction
- Design structured material knowledge representation
- Build automated workflows for simulation datasets
- Implement quality checks for extracted parameters
- Implement anomaly detection for extracted parameters
- Explore ML methods to improve extraction accuracy
- Create tools for engineer review and approval
- Document the workflow
- Evaluate system performance
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- LLMs
- Python
- Git
- Linux
Benefits
Flexible Working
- Flextime
- Mobile working
Other Benefits
- Permanent internship contact
- Student network membership
Modern Office
- Modern working environment
Corporate Discounts
- Company restaurant discounts
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Mandatory Internship Automating High-Speed PCB Material Databases Using AI and Data Engineering(m/w/x)
Building document understanding pipelines for high-speed PCB material databases at a global engineering and technology company. Experience with automation, data processing, LLMs, Python, Git, Linux required. Permanent internship contact, flextime.
Requirements
- Studies in Electrical Engineering, Physics, Computer Science, Data Science, or comparable field
- Experience with automation, data processing, LLMs, Python, Git, Linux
- Structured approach to tasks and independent solution development
- On-site presence required
- Very good English skills
- English language skills
- University enrollment
- CV
- Transcript of records
- Enrollment certificate
- Examination regulations
- Valid work and residence permit (if indicated)
Tasks
- Develop a document understanding pipeline
- Implement ML/LLM for parameter extraction
- Design structured material knowledge representation
- Build automated workflows for simulation datasets
- Implement quality checks for extracted parameters
- Implement anomaly detection for extracted parameters
- Explore ML methods to improve extraction accuracy
- Create tools for engineer review and approval
- Document the workflow
- Evaluate system performance
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- LLMs
- Python
- Git
- Linux
Benefits
Flexible Working
- Flextime
- Mobile working
Other Benefits
- Permanent internship contact
- Student network membership
Modern Office
- Modern working environment
Corporate Discounts
- Company restaurant discounts
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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