Nucor Corporation

AI/ML Ontology Engineer

Nucor Corporation

full-time

Posted on:

Location Type: Office

Location: Dallas • Texas • United States

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Tech Stack

AzureNeo4j

About the role

  • Design, build, and maintain enterprise ontologies and knowledge graphs using standards such as OWL, RDF, and SPARQL.
  • Collaborate with domain experts, data engineers, and business stakeholders to capture and formalize business concepts, relationships, and rules.
  • Develop and manage taxonomies, controlled vocabularies, and semantic metadata schemas across Nucor's operational and business domains.
  • Integrate ontological structures with enterprise data platforms, AI/ML pipelines, and analytics environments.
  • Partner with AI/ML Engineers and data scientists to ensure ontology structures support downstream model training, feature engineering, and inference pipelines.
  • Define and enforce data governance standards for entity definitions, lineage tracking, and metadata management across enterprise platforms.
  • Monitor ontology performance and usage patterns; proactively identify gaps and drive continuous improvement.
  • Support integration of ontology layers with enterprise data products, dashboards, and reporting tools.
  • Evaluate and implement ontology management tools and platforms, ensuring scalability and interoperability.
  • Translate complex technical concepts into clear documentation for both technical and non-technical audiences.
  • Stay current with advancements in knowledge representation, semantic web technologies, and AI/ML techniques.

Requirements

  • 3+ years of experience in ontology engineering, knowledge graph development, or semantic data modeling.
  • Strong proficiency in OWL, RDF, RDFS, SPARQL, and related W3C semantic web standards.
  • Hands-on experience with ontology development tools such as Protégé, TopBraid Composer, or similar.
  • Demonstrated ability to collaborate with cross-functional teams to model complex business domains.
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune, Azure Cosmos DB for Gremlin) and graph query languages.
  • Strong understanding of data governance, metadata management, and master data management (MDM) principles.
  • Experience collaborating in cross-functional Agile or DevOps environments.
  • Excellent analytical thinking with ability to translate ambiguous business requirements into formal semantic models.
  • Strong written and verbal communication skills, with ability to present technical concepts to diverse audiences.
  • Bachelor's degree in Computer Science, Information Science, Knowledge Engineering, or a related field (or equivalent experience).
Benefits
  • Medical
  • Dental
  • Vision
  • Disability Insurance
  • 401K and Roth accounts
  • Profit sharing
  • Pay-for-performance bonuses
  • Paid parental leave
  • Tuition reimbursement
  • Stock program
  • Scholarships
Applicant Tracking System Keywords

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

Hard Skills & Tools
ontology engineeringknowledge graph developmentsemantic data modelingOWLRDFSPARQLgraph databasesgraph query languagesdata governancemetadata management
Soft Skills
collaborationanalytical thinkingcommunicationcross-functional teamworkdocumentation
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information ScienceBachelor's degree in Knowledge Engineering