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Data engineeringMachine learningCI/CDSpringAzurePythonJavaGermanEnglishCommunication
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About the 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.
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View original listing ↗
Zurich, Zürich, Switzerland