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Senior Data Engineer – AI
Location
Germany
Posted
74 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer – AI
ARTHEMIQ AG
• Analyze and develop concrete customer use cases for data- and AI-based IT solutions • Create practical, implementable solution concepts — technical, functional, and architectural • Develop PoC, MVP and production-ready applications on cloud and on-premise stacks • Use modern LLM technologies: embeddings, re-ranking, prompting, fine-tuning, retrieval concepts, and other methods when they increase customer value • Work closely with our architects, consultants and customers to integrate solutions into existing system landscapes • Contribute to the further development of our product lines (QI-Box, QI-Flow) and our standardized onboarding process
Job Requirements
- Minimum of 5 years’ professional experience in AI / Data Science / Machine Learning / Data Engineering
- Excellent 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
- Work with structured data (e.g., time series) and unstructured data (text, 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
- Clear communication, teamwork and enthusiasm for interdisciplinary collaboration
- Ability to present complex technical topics to customers in an understandable way
Benefits
- Challenging projects and a high degree of personal responsibility for your work
- Openness to change and a commitment to continuous improvement
- Excellent technical equipment with current hardware and a free choice of operating system
- Flexibility through family‑friendly working hours within a trust-based working-time model
- Employee benefits such as company bike (Jobrad), gym membership, company pension plan, and more
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