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BOBosch Group
Mandatory Internship Applied Anomaly Detection for Multi-Channel Vision in Manufacturing(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Nejo AI Summary
Applied anomaly detection for multi-channel vision in manufacturing. Deep learning framework skills (PyTorch or JAX) required. Hands-on experience with industrial-scale datasets, independent complex task tackling.
Requirements
- Computer Science, Machine Learning, or AI studies with very good grades
- Machine-learning fundamentals knowledge
- Very good Python programming skills
- Deep learning framework skills (PyTorch or JAX)
- Independent complex task tackling
- Structured, analytical mindset
- Strong motivation to learn
- Clear communication skills
- Very good English skills
Tasks
- Support exploration of state-of-the-art anomaly detection methods
- Contribute to development of generalizable quality assessment models
- Implement and train models using real production data
- Evaluate model robustness for practical deployment
- Gain hands-on experience with industrial-scale datasets
- Collaborate with Research & Development experts
- Work closely with Production unit professionals
- Regularly share progress with team members
- Contribute to ongoing innovation in computer vision
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
BOBosch Group
Mandatory Internship Applied Anomaly Detection for Multi-Channel Vision in Manufacturing(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Nejo AI Summary
Applied anomaly detection for multi-channel vision in manufacturing. Deep learning framework skills (PyTorch or JAX) required. Hands-on experience with industrial-scale datasets, independent complex task tackling.
Requirements
- Computer Science, Machine Learning, or AI studies with very good grades
- Machine-learning fundamentals knowledge
- Very good Python programming skills
- Deep learning framework skills (PyTorch or JAX)
- Independent complex task tackling
- Structured, analytical mindset
- Strong motivation to learn
- Clear communication skills
- Very good English skills
Tasks
- Support exploration of state-of-the-art anomaly detection methods
- Contribute to development of generalizable quality assessment models
- Implement and train models using real production data
- Evaluate model robustness for practical deployment
- Gain hands-on experience with industrial-scale datasets
- Collaborate with Research & Development experts
- Work closely with Production unit professionals
- Regularly share progress with team members
- Contribute to ongoing innovation in computer vision
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Bosch Group
Industry
IT
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.