Master Thesis Development of Retrieval-Augmented Generation, Pipeline Components - Remote

Overview

This position involves the development of a Master thesis focused on Retrieval-Augmented Generation and related pipeline components, providing an opportunity to work with cutting-edge technologies in a remote-friendly environment.

In Short

• Choose a subject area for your Master thesis related to ML and RAG.
• Develop and train ML models for parsing industry-specific documents.
• Create custom parsing tools for document ingestion into a vector database.
• Train or fine-tune custom LLM models for smart hydraulic services.
• Work remotely with a team primarily based in Germany.
• Monthly on-site visits required for team collaboration.
• Education in Computer Science or related field is necessary.
• Hands-on experience with Python and basic Linux skills are preferred.
• Enthusiasm for new technologies is essential.
• Good German language skills are required.

Requirements

• Enrollment at university is mandatory for this thesis.
• Basic knowledge in ML, NLP, or related fields.
• Ability to work independently and learn new subjects.
• Familiarity with CLI tools is preferred.
• Willingness to experiment with new procedures and tools.

Benefits

• Flexible working arrangements from home or Bosch location.
• Dynamic career opportunities in an international environment.
• Diversity and inclusion are prioritized in the corporate culture.
• Supportive team atmosphere with opportunities for learning.