Master Theis Development of Retrieval-Augmented Generation, Pipeline Components â remote possible
Master Theis Development of Retrieval-Augmented Generation, Pipeline Components â remote possible
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1 Vacancy
Job Description
- During your Master thesis you will develop and train an ML model to parse industry-specific documents as an entry point for a Retrieval-Augmented Generation (RAG) pipeline.
- Your job includes the development of custom parsing and chunking tools for industry-specific documents as well as their ingestion into a vector database.
- Last but not least you will train and/or fine-tune a custom LLM model for use-case-specific applications within the scope of smart hydraulic services.
Qualifications :
- 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
Additional Information :
Start: according to prior agreement
Duration: 3 - 6 months
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.
Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Julius Berger (Functional Department)
49 1
#LI-DNI
You can also find more information about us at on our social media channels for example Instagram.
Move with us. Win together.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
