Master Thesis in Continuous Learning and Data Acquisition in MLOps
BMW GroupMaster Thesis in Continuous Learning and Data Acquisition in MLOps
About the Role
Join the BMW Group for an exciting opportunity to work on a Master thesis in the area of Continuous Learning and Data Acquisition in Machine Learning Operations (MLOps). This role is perfect for a master student nearing the end of their degree in computer science or related fields, with a focus on machine learning or artificial intelligence.
Responsibilities
- Research: Investigate state-of-the-art continuous learning techniques on Vision Transformers for semantic segmentation using benchmark datasets such as CityScapes and ADE20k.
- Implementation: Develop a novel continuous learning method for Vision Transformers, contributing to our PyTorch-based research stack.
- Experimentation: Utilize our advanced training infrastructure to conduct experiments and evaluate your approach efficiently.
- Presentation: Present your thesis results using the scientific method, both in written and oral formats.
- Collaboration: Work with an experienced team that has published at international peer-reviewed conferences and engage with an international and diverse team of doctoral candidates and students at the Autonomous Driving Campus in Unterschleißheim.
Requirements
- Education: You must be a master student in computer science or a related field.
- Skills: Strong knowledge in computer vision concepts, tasks, and Vision Transformers. Excellent programming skills in Python and PyTorch, and experience with modern programming tools such as Docker and Git.
- Language: Fluent in English.
- Attributes: Driven by curiosity, motivated to solve problems independently, and able to share ideas and work effectively in a team.
What We Offer
- Comprehensive mentoring and onboarding.
- Opportunities for personal and professional development.
- Flexible working hours and digital offers for mobile working.
- Attractive remuneration and potential apartment offers for students in Munich.
Additional Information
- Location: Munich, Bavaria, Germany
- Duration: 6 months
- Start Date: From 10/01/2024
- Working Hours: Full-time
At BMW Group, diversity and inclusion are seen as strengths for our teams. We are committed to equal opportunities and the equal treatment of applicants and employees. Our recruiting decisions are based on personality, experience, and skills.
Apply now to be part of an innovative environment where new technologies are embraced and creativity is encouraged.
Benefits Extracted with AI
- Comprehensive mentoring & onboarding
- Personal & professional development
- Flexible working hours
- Digital offers & mobile working
- Attractive remuneration
- Apartment offers for students (subject to availability & only Munich)
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