Senior Data Engineer, AI Engineer

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🕒 March 26

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IBIS Prof. Thome AG

WebsiteLinkedInAll Job Openings

11 - 50 employees

We analyze SAP systems.

📋 Description

• Analyze and develop concrete client 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 • Use modern LLM technologies: embeddings, re-ranking, prompting, fine-tuning, retrieval concepts, and other methods when they increase customer value • Collaborate 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 / Data Engineering • Strong proficiency in 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 (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 • Precise communication, team player, and enjoyment of interdisciplinary collaboration • Ability to explain complex technical matters clearly to clients • Very good German language skills (at least B2/C1)

🏖️ Benefits

• Challenging projects and significant personal responsibility for your work • Openness to change and the willingness to continuously improve together • Excellent technical equipment with up-to-date hardware and 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