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(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)

Garching bei München, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will play a key part in developing Knowledge Graphs that enhance Generative AI applications, collaborating with experts to design large-scale solutions and drive innovative business insights. Your work will directly impact how AI technology is leveraged across various domains.

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Requirements

  • •PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics, or relevant disciplines
  • •5+ years of professional experience with Knowledge Graphs in a business context
  • •Experience in semantic / knowledge modeling
  • •Working proficiency in RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and property graphs-based solutions (e.g., neo4j)
  • •Experience mapping business operations into clear data models and organized schemas
  • •Experience with Enterprise Knowledge Graph implementations and architecture, knowledge of vendor ecosystem and open-source triple stores
  • •Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models
  • •Solid knowledge in Artificial Intelligence and data science, specifically graph-based approaches
  • •Experience in Data Engineering with a hands-on approach to solving data challenges
  • •Fluent in Python and ability to convert ideas into productive code
  • •Ability to advise diverse stakeholders on applying an enterprise Knowledge Graph to business use cases
  • •Developer experience with any SAP Application and its underlying data models is a plus
  • •Strong communication and collaboration skills, ability to work effectively in cross-cultural teams

Education

Doctoral / PhD
OR
Master's degree

Work Experience

5 years

Tasks

  • •Contribute to the development of Knowledge Graphs across multiple SAP domains
  • •Integrate Knowledge Graphs into Generative AI applications to mitigate hallucinations
  • •Design and manage the construction of large-scale Knowledge Graphs using structured and unstructured business data
  • •Collaborate with domain specialists and data owners to gather requirements for Knowledge Graph modeling
  • •Make design decisions on the selection and implementation of underlying technologies
  • •Provide thought leadership in the field of Generative AI combined with Knowledge Graphs
  • •Present and explain the benefits of Knowledge Graphs for business use cases
  • •Propose new use cases to relevant stakeholders

Tools & Technologies

RDFOWLSHACLSPARQLneo4jPython

Languages

English – Business Fluent

Benefits

Learning & Development

  • •Constant learning
  • •Skill growth

Other Benefits

  • •Great benefits

Flexible Working

  • •Flexible working models
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