Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you design AI workflows and tools, create prototypes, build robust error handling, and integrate solutions into larger platforms, while collaborating with the team on ML models and evaluation methods.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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).
Experience
- 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.
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What we offer
- 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 into the team.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Infineon Technologies AG
Our creativity and dedication increase the value for our customers, employees, and investors. We understand how semiconductors improve the performance of modern technology and enable solutions that shape our current and future lives. Every single product we develop and manufacture is done with passion and precision, evidence of our determination to succeed. This makes us a trustworthy partner and helps our customers become even more successful.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Electronics, Automatization
Working Student - Forward Deployed Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
