Responsibilities
We are looking for a Work Student Data Engineer AI to support the design, development, and deployment of AI- and ML-powered solutions at TeamViewer. You will join our newly established AI team whose mission is to consult, build, and deploy automation and AI solutions for both internal and external projects. As part of the team, you will work closely with senior data engineers and AI experts, actively contributing to LLM-driven applications, process automation, workflow orchestration, and enterprise integrations.
This position is ideal if you already bring strong technical skills in Python and SQL, combined with curiosity for AI technologies and the ability to self-learn quickly while working on real-world projects.
1. Contribute to the development of data pipelines and AI/ML infrastructure for automation and AI projects.
2. Actively support building and deploying LLM-driven applications and automation solutions in collaboration with senior engineers.
3. Work on data preparation, transformation, and exploration to enable machine learning workflows.
4. Apply your knowledge in vector databases, LangChain / LangGraph, and orchestration frameworks to real use cases.
5. Collaborate with stakeholders and team members to identify and implement opportunities for AI and automation.
6. Explore new tools and approaches in LLMs, AI frameworks, and ML technologies and bring fresh ideas into the team.
Requirements
7. Ongoing studies in computer science, data science, machine learning, or a related field.
8. Strong knowledge of Python, including libraries such as pandas, SQLAlchemy, FastAPI, or similar.
9. Strong SQL skills, with experience in relational databases and data modeling.
10. First hands-on exposure to LLMs (e.g., retrieval-augmented generation, fine-tuning, evaluation).
11. Curiosity and ideally practical experience with vector databases and frameworks like LangChain / LangGraph.
12. Motivation to work on automation, orchestration, and enterprise AI integrations.
13. Good communication skills and the ability to collaborate effectively in a team.
14. Fluency in English is mandatory; German is a plus.
15. Hands-on experience with cloud platforms (AWS, GCP, Azure).
16. Familiarity with MLOps concepts or tools (MLflow, Weights & Biases, etc.).
17. Experience with data visualization or lightweight front-end prototypes (e.g., Streamlit, Gradio).
18. Previous project work, coursework, or personal projects in machine learning or AI applications.
What we offer
19. Contract location would be Göppingen or Berlin, Germany
20. Make an impact! Take on the responsibility and work on your own projects. Your passion and skills will be used in international projects and support the operations of our business!
21. Our Working Students in Germany receive a monthly salary of €1,566 for a 20-hour/week contract, €1,253 for a 16-hour/week contract, and €1,400 for an internship position.
22. Do you need to gain your first work experience as a part of a mandatory internship? Maybe you are looking for some exciting and time flexible tasks along to your studies? Join us in a role that suits you! We also offer Bachelor and Master Thesis options.
23. Fixed Student Contract with above average salary and trust based working hours
24. Make yourself at home! We don't wear ties. In our casual office atmosphere, you can wear whatever you want and enjoy your breaks in one of our many lounge areas
25. Hungry for knowledge? Our TeamViewer Library offers a wide range of industry-related books selections, and our E-Learning Center is available 24/7
26. We truly live and celebrate our cultural diversity! Our colleagues come from more than 80 countries and speak more than 40 languages
27. We work hard and play harder! Look forward to our company celebrations, team events and other social gatherings
28. No matter if you are using private or public transportation means, we offer travel subsidy to all our students
29. Attractive workstations with modern and ergonomic equipment, fruits, soft drinks, sports offerings and many other corporate benefits wait for you!
30. Our students are the potential employees of "tomorrow" - After your studies, you will have good chances of starting a full-time job