Master Thesis Development of Retrieval-Augmented Generation­­,­­ Pipeline Components - remote possible

Education: Master studies in the field of Computer Science, Information Technology or a comparable degree program in Computer Science Experience and Knowledge: basic in Linux; hands-on experience with Python scripting; basic knowledge (can be coursework, personal projects or practical exposure) in at least one of the following: Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) concepts, information retrieval, vector databases or Optical Character Recognition (OCR); familiarity with CLI tools is preferred Personality and Working Practice: you are an independent and autonomous individual with a strong ability to learn and a willingness to familiarize yourself with new subject areas Work Routine: The team mainly works remotely, with mobile working within Germany as the standard mode. Monthly visits to the common team on-site days are required. Enthusiasm: for bleeding-edge technology and a willingness to experiment with procedures and tools that have rarely been tried before Languages: good in German You want to work flexibly from your home in Germany or prefer working at the Bosch location in Lohr am Main? For positions with the addition «remote possible», you can agree on the appropriate collaboration for your task together with your manager and your team within the framework of Smart Work.