About this role
Occupancy: 100% / Start date: 01.06.2026/ Initial duration: 12 months
We are looking for an experienced Senior Data Scientist to help design and deliver enterprise-grade Generative AI solutions with a strong focus on Retrieval-Augmented Generation (RAG). You will work in a collaborative DevOps environment, building scalable AI applications and driving innovation across modern cloud platforms.
Responsibilities & Tasks
- Develop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices.
- Build scalable APIs, data pipelines, and integrations for AI-powered enterprise applications.
- Collaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions.
- Monitor, optimize, and fine-tune machine learning and GenAI applications in production environments.
- Support CI/CD processes, automated deployments, observability, and AI platform reliability.
Requirements & Qualifications
- 5–8 years of experience in Data Science, AI Engineering, or related roles.
- Strong expertise in Generative AI, RAG architectures, prompt engineering, and context management.
- Experience with tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services.
- Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure.
- Fluent German (C2 level) and strong English communication skills (B2 or higher).
Benefits & Culture
- Work on innovative AI and cloud projects using modern technologies and scalable architectures.
- Join a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence.
- Long-term project opportunity with strong potential for professional growth and impactful work.