Description

In this role, you will:

  • Support our Senior AI/ML Engineers in the design and evaluation of LLM prompts and agents to be used in combination with modern knowledge databases and RAG 
  • Collect, analyze, prepare and structure datasets for fine-tuning, validation and testing state-of-the-art LLMs to be used in the next-generation automative infotainment middleware
  • Create and test real-world user scenarios to elevate the future in-car experience across different car-lines worldwide

What you will need to succeed:

  • Active study program as Bachelor or Master student in the field of Computer Science, Data Science or equivalent
  • First hands-on experience with in-context-learning, few-shot-learning and creating LLM-powered applications (e.g. Chatbots, information retrieval, document summarization)
  • Fundamental knowledge in state-of-the-art LLMs, RAG and vector/graph databases (e.g. OpenSearch, ElasticSearch, Jina, Neo4j)
  • Proficiency in Python, Painless

Key Skills
Education

Bachelor or Master