Senior Data Engineer, AI Engineer
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Job Description
Senior Data & AI-Engineer developing data-driven and AI solutions for healthcare markets. Collaborating closely with clients and internal teams to integrate advanced technologies.
Responsibilities:
- Analyze and develop concrete customer use cases for leveraging data- and AI-based IT solutions
- Create practically implementable solution concepts — technical, functional, and architectural
- Develop PoC, MVP, and production-ready applications on cloud and on-premise stacks
- Apply modern LLM technologies: embeddings, re-ranking, prompting, fine-tuning, retrieval concepts and other methods where they increase customer value
- Work closely with our architects, consultants and clients to integrate solutions into existing system landscapes
- Contribute to the further development of our product lines (QI-Box, QI-Flow) and our standardized implementation process
Requirements:
- At least 5 years of professional experience in AI, Data Science, Machine Learning or Data Engineering
- Very good knowledge of Python and common ML/DL frameworks (PyTorch, TensorFlow, scikit-learn)
- Solid experience with LLMs, RAG systems, embeddings and evaluation methods
- Confident handling of relational databases, SQL and vector databases
- Experience building robust data pipelines and basic knowledge of MLOps
- Experience working with structured data (e.g., time series) and unstructured data (texts, PDFs, documents)
- Experience with cloud or on-premise environments (AWS, Azure, GCP)
- Understanding of containerized deployments, API design and integrations
- Structured and independent working style
- Precise communication, team spirit and enjoyment of interdisciplinary collaboration
- Ability to explain complex technical topics to customers in an understandable way
Benefits:
- Challenging projects and significant ownership of your work
- Openness to change and a shared commitment to continuous improvement
- Excellent technical equipment with up-to-date hardware and freedom to choose your operating system
- Flexibility through family-friendly working hours within a trust-based working time model
- Employee benefits such as bike leasing (JobRad), gym membership, company pension plan, and more
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