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Working Student Machine Learning - Python / LLM / RAG (m/f/d)

Updated: 14 Dec 2024

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IT & Technology
Karlsruhe

Über das Unternehmen
Cinemo is a highly innovative one-stop-shop provider for fully integrated digital media products. They are ready for every screen, combining high performance, high quality, low footprint, and cutting-edge technologies in a truly system-agnostic design.

Whether embedded, as mobile apps or through the cloud, Cinemo offers digital media products any industry.

As a Working Student – Machine Learning (GenAI) you will support the Senior AI/ML Engineers in the design and evaluation of GenerativeAI and Large Language Models.

What do we offer?

  • Office spaces in the heart of the city center
  • A friendly, diverse, international, dynamic, challenging and open-minded work environment
  • Flexible working hours
  • The opportunity to shape the future of infotainment
  • Talent management initiatives
  • Great social events throughout the year
  • Working partly remote is possible

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 kledge 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 kledge in state-of-the-art LLMs, RAG and vector/graph databases (e.g. OpenSearch, ElasticSearch, Jina, Neo4j)
  • Proficiency in Python, Painless

Unser Jobangebot Working Student Machine Learning - Python / LLM / RAG (m/f/d)klingt vielversprechend?Bei unserem Partner Workwise ist eine Bewerbung für diesen Job in nur wenigen Minuten und ohne Anschreiben möglich. Anschließend kann der Status der Bewerbung live verfolgt werden. Wir freuen wir uns auf eine Bewerbung über Workwise.

Work Hours:

10 - 20 hours per week hours per week