IBIS Prof. Thome AG

Senior Data Engineer, AI Engineer

IBIS Prof. Thome AG

full-time

Posted on:

Location Type: Remote

Location: Germany

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMachine LearningDeep LearningPyTorchTensorFlowscikit-learnLLMsSQLMLOpsdata pipelines
Soft Skills
structured working styleindependent working styleprecise communicationteam playerinterdisciplinary collaborationexplain complex technical mattersenjoyment of collaboration