Intern in Data Science at Wealthsimple, Canada's largest fintech company. Contributing to innovative projects in financial services while receiving mentorship and support.
About the role
- Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting-edge technologies in generative AI and machine learning.
Responsibilities
- Work with 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 the 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 (minimum 1st semester) 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.
- First experience or keen interest in Retrieval-Augmented Generation (RAG) and Agentic-RAG, including text preprocessing, chunking, embeddings, semantic search, reranking, and output tuning.
- 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 and strong engagement.
- Interest in a long-term collaboration (minimum 6 months).
Benefits
- Flexible working hours that are perfectly compatible with your studies.
- Open and friendly working atmosphere in which your ideas are valued.
- Variety of tasks that inspire and challenge you.
- Application-oriented research experience.
- Opportunity to write a master's thesis in cooperation with the institute.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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