Job
- Level
- Junior
- Job Feld
- Software, Data
- Anstellung
- Teilzeit
- Vertragsart
- Praktikum / Schulpraktikum
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du AI-Workflows und Tools, erstellst Prototypen, baust robuste Fehlermöglichkeiten und integrierst Lösungen in größere Plattformen. Dabei arbeitest du eng mit dem Team an ML-Modellen und Evaluierungsmethoden.
Job Technologien
Deine Rolle im Team
- This role involves designing, developing, and evaluating AI workflows and tools, as well as contributing to the creation of reusable resources and supporting integration with larger platforms.
- Work on AI projects from start to finish, designing and implementing tools and workflows, with guidance from the team, to create tested prototypes.
- Building and evaluating workflows, designing prompts and tools, and creating robust error handling mechanisms, as well as developing evaluation setups to test the quality of the workflows.
- Developing and prototyping machine learning models for reliability and quality analytics, such as outlier detection and predictive models, and packaging the results in a reproducible manner.
- Contribute to creating a reusable 'starter kit' with templates and documentation, and support the integration of the AI workflows into larger platforms by producing clear interfaces, tests, and documentation.
Unsere Erwartungen an dich
Qualifikationen
- Enrolled in a Master's program (or advanced Bachelor) in Computer Science, Data Science, Physics, Electrical Engineering or similar.
- Comfortable with Git, code reviews, and writing maintainable code (tests are a plus).
- You can work independently on ambiguous tasks (clarify requirements, propose options, and drive to a result), and can collaborate with engineers and domain experts.
- You are fluent in English (German is a plus).
Erfahrung
- Have strong Python skills (pandas/NumPy), and ideally first experience with FastAPI/Streamlit or building small services.
- Understand basic ML concepts (train/test split, metrics, overfitting); PyTorch/scikit-learn experience is a plus.
- First hands-on experience with LLMs/agents (prompting, tool calling, evaluation) and are motivated to go deeper.
Unser Angebot
- The focus is on studies. That's why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
- To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme.
- You must not be in a semester of leave.
- We look forward to welcoming you to our team for at least 6 months.
- For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Infineon Technologies AG
Wir erschaffen Wert für unsere Kunden, Mitarbeiter und Investoren durch Kreativität und Engagement. Wir verstehen, wie Halbleiter die Leistung moderner Technologien steigern und Lösungen ermöglichen, die unser heutiges und zukünftiges Leben prägen. Jedes einzelne Produkt, das mit Leidenschaft entwickelt und mit Präzision gefertigt wird, beweist unseren Erfolgswillen. Dies ist es, was uns zu einem zuverlässigen Partner macht und unseren Kunden hilft, noch erfolgreicher zu werden.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion, Elektronik, Automatisation
Working Student - Forward Deployed Engineer
- Ort
- München
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
