München: Working Student AI-powered Process Optimization in Product Management (m/f/d)

Join our Product Management Signaling Division in München (Germany) at the earliest possible date.

Your tasks

• Demonstrate interest in the field of product management
• Conduct internal surveys from product management departments to identify potential areas where AI can enhance internal processes
• Assist in generating a large-scale raw database by extracting internal (and external) information from PDFs, PPTs, Word documents, etc.
• Help analyze and curate raw data sources by establishing pipelines for data processing and evaluation
• Utilize existing R&S AI tools to improve basic RAG systems or implement more advanced RAG/Agentic-RAG systems to support the team
• Contribute to optimizing overall performance for target applications
• Support the integration of the AI system into our web/cloud applications
• Engage in the development and implementation of a proof of concept (PoC) to validate innovative ideas and approaches

Your qualifications

• Currently pursuing academic studies in electrical engineering, computer science, industrial engineering, or a comparable field with a focus on machine learning
• Strong programming skills in Python
• Understanding of deep learning architectures and concepts in NLP
• Experience with LlamaIndex, LangChain, MLFlow, Dagster (or similar), and LiteLLM
• Practical experience with chunking strategies, RAGs, Agentic-RAG, and evaluation
• Strong interpersonal skills to foster collaboration and teamwork
• Excellent command of written and spoken English

Interested?

We are looking forward to receiving your application! If you have any questions, please feel free to contact your recruiting contact at any time.
We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number: 11099
Recruiting contact: Verena Kral City/regionMunich (Germany)Entry levelWorking studentsEmployment TypeFull-time / Part-time possible, limitedRef. Number11099