Job Summary

Does working for 150+ million children of Bharat excite you? Then this prospect is for you!

Key Responsibilities

- Design and maintain domain ontologies covering educational content, skills taxonomies, learner models and curriculum structures.

- Define ontology standards, schema versioning and governance processes across the knowledge platform.

- Model entities, relationships and semantic hierarchies using RDF / OWL and property-graph representations.

- Build and maintain knowledge base construction and entity resolution pipelines from heterogeneous data sources.

- Support GraphRAG architectures by structuring ontologies for LLM retrieval pipelines and contextual AI responses.

- Define and enforce knowledge quality standards, including completeness checks, consistency validation and remediation workflows.

- Work with graph database teams on query patterns, index design and performance tuning of ontology-backed queries.

- Design semantic search capabilities that combine graph-native and vector-based hybrid retrieval approaches.

- Collaborate with ML and product teams on graph-native features such as recommendations, adaptive learning paths and gap detection.

- Document ontology design decisions, mapping rules and controlled vocabularies for platform-wide adoption.

- Evaluate and evolve semantic technology standards as platform and data complexity scales.

Qualifications

- B.Tech / B.E.



/ M.Tech / MCA in Computer Science, Information Science or equivalent.

- 4+ years of experience in ontology engineering, knowledge representation or semantic data modelling.

- Experience building and maintaining large-scale domain ontologies and knowledge graphs in production environments.

Must-have skills

- Ontology Knowledge Modelling - Designing domain ontologies, taxonomies and semantic hierarchies.

- RDF / OWL / SPARQL - Semantic web standards for representing, reasoning over and querying knowledge.

- Property Graphs Cypher - Graph-native modelling and querying with Neo4j, JanusGraph, Apache Jena or similar.

- Knowledge Graph Construction - Entity resolution and knowledge base pipelines from heterogeneous sources.

- Ontology Governance - Schema versioning, quality standards, consistency validation and remediation.

- Semantic Technologies Reasoning - Inference pipelines and graph-based data integration.

- GraphRAG Semantic Search - Structuring ontologies for LLM retrieval and hybrid graph-vector search.

- Problem Solving - Ability to model ambiguous domains into clean, scalable semantic structures.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Ontology Engineer (Noida)
🏢 Convegenius Edu
📍 Noida