- You will be part of a small team developing a tool which connects scattered engineering data in a knowledge graph to make it easily available to users.
- Your task will be to enhance the search functionality of the tool with a LLMbased chatbot which answers user questions based on the data available in the knowledge graph.
- During your internship you will have the opportunity to shape the tool with your contribution but also to learn about knowledge graphs and semantics data engineering as well as how to set up a web app to deliver the desired information to the user.
Qualifications :
- Education: studies in the field of Computer Science Mathematics Physics Engineering or comparable
- Experience and Knowledge: in handling data with Python using Pandas Numpy or similar packages; at least basic knowledge how chatbots and large language models work; basic Git functionalities are not new to you; knowledge about retrieval augmented generation Sparql or Azure is a plus
- Personality and Working Practice: able to work independently but also in a multinational team
- Enthusiasm: curious about AI
- Languages: very good in English; German is a plus
Additional Information :
Start: according to prior agreement
Duration: 4 6 months
Requirement for this internship is the enrollment at university. Please attach your CV transcript of records enrollment certificate 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
Christian Arnold (Functional Department)
49 5
#LIDNI
Remote Work :
No
Employment Type :
Fulltime