Job
In this role, you will assist in implementing data science use cases, develop LLM-based prototypes, build MLOps processes, and work on standardization projects within the team.
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Job technologies
Your role in the team
- Support in implementing data science use cases—from data analysis and model training through to evaluation.
- Development and optimization of LLM-based applications and prototypes, such as RAG systems, as well as support with their evaluation and monitoring.
- Support in establishing MLOps processes and developing components for the internal AI platform.
- Contribute to the development and implementation of various standardization projects for the Data Science team, such as defining and introducing coding standards.
Our expectations of you
Education
- Currently enrolled in a STEM, engineering, or comparable degree program.
Qualifications
- Basic programming knowledge in Python, ideally with a confident command of the programming language.
- Excellent communication skills to convey complex issues and insights clearly, understandably, and in a way that is tailored to the target audience.
Experience
- Knowledge and initial practical experience in the field of data science.
- Initial hands-on experience working with large language models (LLMs).
- Ideally, some initial experience with containerization and orchestration (Docker, Kubernetes).
What we offer
- The monthly gross salary is €1,011.00 (Bachelor’s) / €1,076.00 (Master’s) for a flexible 15-hour workweek, or €1,348.00 (Bachelor’s) / €1,435.00 (Master’s) for a flexible 20-hour workweek.
Benefits
Work-Life-Integration
Higher take-home pay
Topics you will work on
Job locations
About your employer
Bundesdruckerei is one of the world's leading high-security technology companies and offers customized solutions for secure identities and data security for citizens, public authorities and companies.
- Established Company
- Onsite, Hybrid
- Internet, IT, Telecommunication
Employer reviews
- Team culture
- 3.5
- Career growth
- 3.2
- Working conditions
- 4.2
- Engineering
- 3.3
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