Ontology / Knowledge Graph Engineer

Greetings from Ashra Technologies

We are hiring...

Job Role:Ontology / Knowledge Graph Engineer

Experience: 8+years

Locations: Gurugram/ Bangalore

About the RoleWe are looking for an Ontology / Knowledge Graph Engineer to design and govern enterprise semantic models and knowledge graph infrastructure. You will define ontologies, enforce data shapes using SHACL, and integrate graph data into analytics and AI-driven products - working alongside data, product, and ML teams.Key Responsibilities

Design and maintain domain ontologies and semantic models using OWL, RDF, and RDFS standards.

Enforce data integrity and validation rules using SHACL (Shapes Constraint Language) across graph datasets.

Build, query, and optimise knowledge graphs in graph databases (Neo4j, Amazon Neptune, GraphDB, or Stardog).

Develop SPARQL queries, graph APIs, and pipelines to expose semantic data to downstream consumers.

Collaborate with domain experts to capture business knowledge into formal ontology structures.

Integrate knowledge graphs with ML models, search engines, or data platforms for AI enrichment

Required Skills

8+ years in data/knowledge engineering with hands-on ontology or knowledge graph work.

Strong command of semantic web standards - OWL, RDF, RDFS, Turtle, JSON-LD.

Practical SHACL experience - authoring shapes, constraint validation, and reporting.

Proficiency with graph databases: Neo4j, Amazon Neptune, GraphDB, Stardog, or equivalent.

Fluent in SPARQL for querying and reasoning over RDF triple stores.

Experience integrating knowledge graphs with REST/GraphQL APIs or data pipelines.

Good to Have

Familiarity with property graph models (Cypher) alongside RDF-based approaches.

Exposure to ontology management tools - Protégé, TopBraid Composer, or similar.

Experience applying knowledge graphs in NLP, entity resolution, or recommendation systems.

Interested can share cv at: chandrika@ashratech.com/8688322631

Pay: ₹397,234.85 - ₹1,800,000.00 per year

Experience:

Ontology: 8 years (Required)

Knowledge Graph: 4 years (Required)

Work Location: In person