Internship AI-ML Engineering / GenAI & LLM Applications (m/f/d)

At Roche you can show up as yourself, embraced for the unique qualities you bring.

Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.

This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.

The Position

Your department

Your internship will take place in the Biostatistics & Data Science Core Lab & Near Patient Care department, which is part of our organization R&D Roche Diagnostic.
This development unit focuses on Biostatistics & Data Science.

During your internship, you will work in the CC HET Biostatistics & Biophysics group.

Your tasks



* Develop machine learning models for anomaly detection in time-series data to identify infrastructure issues proactively


* Design and develop multi-agent systems for automated infrastructure monitoring and troubleshooting


* Build agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen


* Build conversational interfaces for AI-powered troubleshooting and root cause analysis


* Integrate Large Language Models (LLMs) for automated log analysis and summarization


* Build knowledge retrieval systems using RAG (Retrieval-Augmented Generation) techniques


* Design and develop user interfaces for AI-powered troubleshooting tools


* Experiment with different ML algorithms and GenAI approaches to optimize performance


* Present your results and findings to stakeholders and the broader team

Your profile



* You are currently pursuing a Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field


* You have strong programming skills in Python and experience with modern development practices


* You have hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and understand prompt engineering concepts


* You have practical experience building applications with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar


* You understand agentic design patterns (ReAct, Plan-and-Execute, Reflection, Multi-Agent Collaboration, Tool Use)


* You have experience building multi-agent systems or orchestrating multiple AI agents to solve complex tasks


* You are familiar with RAG (Retrieval-Augmented Generation) techniques and vector databases


* You have experience with API integration and working with external tools and services


* You are familiar with natural language processing techniques and text analysis


* You possess excellent communication skills, with required proficiency in both written and spoken German and English

Our offer



* Hands-On Experience: Gain practical experience in ML/AI and GenAI while working on production systems that have a real impact on...