SS - KNOWLEDGE GRAPH ROLE

Hi

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KNOWLEDGE GRAPH ROLE

Location – Houton TX –

Skill Requirements

1. 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
2. Knowledge Graph Engineering
• Hands-on experience with graph databases (Amazon Neptune, Neo4j, Stardog, etc.).
• Proficiency in SPARQL and Gremlin query development.
3. Data Pipelines & Orchestration
• Expertise in AWS services (Step Functions, S3, EventBridge, Lambda, Glue).
• Experience with document parsing (OCR, Textract, table/form extraction).
4. 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, TigerGraph).
- 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

Shekar

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