Company Description:

As one of the world's leading polymer specialists, REHAU develops modern materials, technologies and services for the future. Our core drivers are the five megatrends of digitalization, individualization, sustainability, mobility and new work. We shape progress for a better quality of life – help shape it!

Job Description:

These exciting tasks await you:

- You will work on AI projects from use case analysis to productive operation
- You will develop prototypes for ML, NLP and GenAI models and support training, validation and optimization
- You will help build data pipelines (ETL/ELT, streaming, batch) and work on scalable cloud architectures
- You will use CI/CD processes, Git workflows, Docker and Kubernetes for production-ready deployments
- You will support the development of RAG systems and the use of vector databases
- You will actively shape
data flows, interfaces and models in our central Data Integration Hub You will support projects in the areas of automation, monitoring and observability

What you bring to the table:

- Technical degree in (business) informatics, data science or comparable
- Very good knowledge of Python and in dealing with ML frameworks such as PyTorch or TensorFlow
- Experience with CI/CD processes, container technologies such as Docker and Kubernetes as well as deployment automations
- Sound understanding of data pipelines, ETL/ELT routes, data modeling and scalable cloud architectures (AWS/Azure)
- Knowledge or quick comprehension in the field of RAG systems and vector databases
Analytical, structured and solution-oriented way of working with high quality standards
Strong communication skills and the ability to convey complex technical content in an understandable way
- Very good knowledge of German and English at least C1 level

This is what we offer you as a working student:

- Responsibility for core AI and data initiatives with direct business impact

- Cooperation with experienced colleagues and mentoring

- Access to internal training, workshops and specialist training

- Flexible working hours, hybrid working and modern working environment

- Direct takeover as AI & Data Solution Engineer after successful collaboration

This is what we also offer you after the takeover:

Work-life balance with 30 days of vacation, a weekly working time of 38.6 hours and a flexitime account that allows you to flexibly arrange additional days off

Permanent employment with a wide range of employee discounts, health offers and leasing opportunities

Working time account for extended parental leave, caring for relatives, sabbaticals or early retirement

You can find the complete package of our benefits here.
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