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About
Design and build knowledge graphs and ontologies for AI solutions and customer implementations Own the data and graph architecture workstream within integrated team solutions Turn validated customer work into reusable assets such as reference architectures and repeatable patterns
Required qualifications
Hands-on experience designing and building knowledge graphs and ontologies Strong understanding of graph data modeling, semantic modeling, and ontology design Experience with graph database platforms and query languages (e.g., SPARQL, Cypher) Data engineering fundamentals, including pipelines and integration with enterprise systems Ability to translate data and graph architectures into clear technical narratives
Languages
- English
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