Fraunhofer IIS

Working Student – Data Science, Natural Language Processing

Fraunhofer IIS

part-time

Posted on:

Location Type: Office

Location: NürnbergGermany

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About the role

  • Work with the latest technologies in industrial and research projects, focusing on generative AI, machine learning, and transformer models
  • Develop innovative AI solutions using Large Language Models (LLMs) such as GPT-5, BERT, or Google Gemini
  • Transform unstructured, domain-specific data into vector databases and build application-oriented Retrieval-Augmented Generation (RAG) systems
  • Apply fine-tuning, prompt engineering, and other techniques to maximize the accuracy and performance of LLMs
  • Support data integration, ETL processes, and modeling and structuring of knowledge
  • Develop web applications and interfaces for chatbot systems and knowledge management tools
  • Actively contribute to data interpretation and bring ideas for new AI use cases

Requirements

  • Currently pursuing a Master’s degree in Computer Science, Business Informatics, Data Science, Artificial Intelligence, or Software Engineering
  • Initial practical experience in Machine Learning, Generative AI, Natural Language Processing (NLP), and AI algorithms
  • Strong programming skills in Python, including proficiency in libraries such as pandas, numpy, scikit-learn, transformers, PyTorch, sentence-transformers, and spaCy
  • Either first experience or a keen interest in Retrieval-Augmented Generation (RAG) and Agentic-RAG
  • Initial experience in developing web applications and APIs using Flask, FastAPI, Streamlit, or REST APIs
  • Confident use of modern development environments/IDEs (e.g., Visual Studio Code)
  • Reliable team player with a high motivation to learn
Benefits
  • Flexible working hours
  • Open and friendly working atmosphere
  • Support in application-oriented research and practical implementation
  • Opportunity to write a master's thesis in cooperation with the institute

Applicant Tracking System Keywords

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

Hard skills
machine learninggenerative AItransformer modelsLarge Language Modelsfine-tuningprompt engineeringdata integrationETL processesweb applicationsAPIs
Soft skills
team playermotivation to learn
Certifications
Master’s degree in Computer ScienceMaster’s degree in Business InformaticsMaster’s degree in Data ScienceMaster’s degree in Artificial IntelligenceMaster’s degree in Software Engineering