BMW Group

Master's Thesis - AI-driven Data Integration, Cost Engineering

BMW Group

internship

Posted on:

Location Type: Office

Location: Munich • Germany

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Tech Stack

Python

About the role

  • You will support the development of an LLM pipeline to identify, classify, and extract attributes from component descriptions.
  • You will also contribute to preparing a dataset for evaluating the LLM pipeline.
  • Furthermore, you will participate in designing and developing AI agents and experiments to compare them with a predefined LLM pipeline.
  • Additionally, you will assist with integrating web and API sources for data enrichment and ensure normalization and traceability of the results.

Requirements

  • Enrolled in a degree program in Computer Science, Business Informatics, Engineering, or a related field.
  • Programming skills (preferably Python) and basic software engineering knowledge.
  • Experience building LLM pipelines (prompting, RAG — Retrieval-Augmented Generation, and evaluation).
  • Experience with AI agent frameworks (orchestration, tool use, APIs).
  • Structured approach and enthusiasm for applied research.
  • Good German and English skills.
Benefits
  • Comprehensive mentoring & onboarding.
  • Personal and professional development.
  • Flexible working hours.
  • Remote work.
  • Attractive and fair compensation.
  • Student apartments (subject to availability & only at the Munich location).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonLLM pipelinepromptingRetrieval-Augmented GenerationevaluationAI agent frameworksorchestrationAPIssoftware engineering
Soft skills
structured approachenthusiasm for applied researchcommunication skills