Position Details
About this role
This role involves designing and maintaining semantic data models and knowledge graphs to support AI and data analytics initiatives within the organization.
Key Responsibilities
- Design semantic data models
- Build knowledge graphs
- Collaborate with data teams
- Implement data governance standards
- Support AI/ML pipelines
Technical Overview
The technical environment includes OWL, RDF, SPARQL, and enterprise data platforms, focusing on ontology development, data governance, and AI/ML pipeline support.
Ideal Candidate
The ideal candidate is a mid-level ontology engineer with experience in semantic data modeling, knowledge graphs, and AI/ML data pipelines. They should be skilled in ontology design, data governance, and integrating ontologies with enterprise data platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with OWL, RDF, or SPARQL, No background in ontology or semantic data modeling, Limited collaboration with data scientists or engineers, Education not specified
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