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BOBoehringer Ingelheim

.AI Engineer / Data Scientist(m/w/x)

Ingelheim am Rhein
Full-timeOn-siteExperienced
AI/ML
Data Science

Building LLM-based systems with RAG and vector databases. Hands-on experience with agentic LLM systems required. End-to-end data pipelines, cloud deployment, and operation.

Requirements

  • Master’s degree in Computer Science, Data Science, Mathematics, Physics, or related field
  • Proven track record delivering production-grade ML/LLM systems end to end
  • Hands-on experience designing and operating complex agentic LLM systems
  • Strong expertise in retrieval-centric AI architectures (e.g., RAG, GraphRAG, vector databases)
  • Strong software engineering skills, including cloud-based deployment and operation of ML/LLM systems
  • Experience in regulated or pharmaceutical environments (plus)
  • Strong interest in trust, traceability, and compliance
  • Excellent English communication skills
  • Ability to work in interdisciplinary, international teams

Tasks

  • Design and build LLM-based systems
  • Deploy and maintain retrieval-augmented systems
  • Translate regulatory and business needs into solutions
  • Develop end-to-end data pipelines
  • Run multi-step, tool-using systems
  • Ensure traceability and robustness in datasets
  • Analyze regulatory and clinical data flows
  • Improve production architectures for GxP compliance
  • Align with documentation and auditability standards
  • Partner with business and technical stakeholders
  • Structure and prioritize requirements
  • Align on risk-based quality levels
  • Ensure sustainable and compliant delivery
  • Contribute to long-running AI systems
  • Monitor and analyze incidents
  • Iteratively improve production systems
  • Implement controlled changes for compliance
  • Maintain system reliability and business value

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • ML
  • LLM
  • AWS
  • Databricks
  • RAG
  • GraphRAG
  • vector databases
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