Role Overview
We are looking for a motivated and enthusiastic individual to join Bosch for a fulfilling internship opportunity! This internship will provide valuable hands-on experience in an emerging technology environment that uses AI/Generative AI to tackle challenging real-world project use-cases. As an Intern Machine Learning (Generative AI) you will support the use of foundation vision language models (VLMs) for anomaly detection using advanced techniques in collaboration with experienced team members.
What you will do (Key Responsibilities)
- Conduct exploratory data analysis (EDA) and feature engineering on images and associated text to optimize VLM performance for anomaly detection applications.
- Experiment with suitable VLM models and prompt engineering techniques for multi-modal anomaly detection on industrial datasets.
- Conduct research to explore new methodologies for leveraging VLMs in quality control/logistics.
- Document development processes algorithms and performance metrics for VLM-based anomaly detection systems contributing to our knowledge base.
Qualifications :
What Were Looking For (Qualifications & Skills)
- Able to work full time for a period of at least 6 months.
- Undergraduate/Postgraduate currently pursuing a Degree/Masters in Computer Science Computer Engineering or a related technical discipline with an emphasis on machine and/or deep learning.
- Knowledge and experience dealing with computer vision multimodal AI and anomaly detection (e.g. image preprocessing object detection vision-language alignment etc.).
- Experience with deep learning methods and frameworks: transformers tensorflow/pytorch scikit-learn python github.
- Curiosity-driven independent thinking and data-centric style of argument construction.
- Highly resourceful in gathering data from reliable and trustworthy sources and the ability to summarize new knowledge fast.
Additional Information :
Why Intern With Us
We dont just offer jobswe build careers. At Bosch youll benefit from:
- Real-world experience apply classroom knowledge to practical real-life work scenarios
- Skill-development build technical and soft skills while being part of the team in-action
- Opportunities to network and learn from industry professionals
- Inclusive culture built on respect collaboration and empowerment
Next Steps
Our recruitment process typically includes:
- Application screening
- Interview(s) with Hiring Manager Business Leaders and HR
Ready to grow your career with Bosch Apply Now!
Remote Work :
No
Employment Type :
Full-time