Overview
On Site
Depends on Experience
Full Time
Skills
Ontology & Semantic Modeling
Knowledge Graph Engineering
Data Pipelines & Orchestration
Job Details
Job Title Ontology & Semantic Modeling
Location Houston, TX
Duration 12 Months
Job Description:
Must Have Skills:
- Ontology & Semantic Modeling
- Knowledge Graph Engineering
- Data Pipelines & Orchestration
Nice to Have Skills:
- Expertise in AWS services (Step Functions, S3, EventBridge, Lambda, Glue Experience with document parsing (OCR, Textract, tableform extraction
Detailed Job Description:
Skill Requirements
- Ontology & Semantic Modeling
- Strong background in RDF, OWL, SHACL, JSON-LD, and ontology design principles.
- Experience managing ontology evolution and SME collaboration workflows.
- Semantic Search and Reasoning
- Knowledge Graph Engineering
- Hands-on experience with graph databases (Amazon Neptune, Neo4j, Stardog, etc.).
- Proficiency in SPARQL and Gremlin query development.
- Data Pipelines & Orchestration
- Expertise in AWS services (Step Functions, S3, Event Bridge, Lambda, Glue).
- Experience with document parsing (OCR, Textract, table/form extraction).
- Applied AI & NLP for IE (Information Extraction)
- Familiarity with large language models (Claude, GPT, etc.) for entity/relation extraction.
- Experience with prompt engineering, post-processing, and guardrail integration.
Key Responsibilities
- Designing, building, and maintaining semantic data structures that enable machines to understand, connect, and reason over enterprise knowledge Knowledge Graph Development Design and implement knowledge graph pipelines using RDF, OWL, SHACL, and/or property graphs (e.g., Neo4j, Tiger Graph).
- Develop ontology models that reflect domain knowledge in collaboration with subject matter experts.
- Integrate structured, semi-structured, and unstructured data sources into the graph Deployment and Integration within AWS
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
- Designing, building, and maintaining semantic data structures that enable machines to understand, connect, and reason over enterprise knowledge Knowledge Graph Development Design and implement knowledge graph pipelines using RDF, OWL, SHACL, and or property graphs e.g., Neo4j, Tiger Graph.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.