Senior Ontology Developer

Evnek; Mumbai, Delhi, Bengaluru; Remoto; INR 1.200.000 - 1.800.000; Tempo integral

Resumo da vaga

Evnek Technologies Private Limited is seeking an experienced Knowledge, Ontology & Semantic Modeler to design enterprise ontologies, taxonomies, and knowledge graphs across multiple data sources. You will define concepts, relationships, and rules, and build semantic mappings and entity resolution to enable consistent business meaning.

The role requires strong RDF/RDFS/OWL/SKOS and SPARQL expertise, hands-on experience with graph databases (Neo4j, GraphDB, Neptune), and familiarity with Python

Qualificações

• Experience in ontology engineering, semantic modeling, or enterprise data architecture.
• Ability to design ontologies, taxonomies, and knowledge graphs across multiple sources.
• Strong knowledge of RDF, RDFS, OWL, SKOS, SPARQL, JSON-LD and SHACL.

Responsabilidades

• Designing enterprise ontologies, taxonomies, semantic models, and knowledge graphs to establish consistent business meaning across multiple data sources.
• Defining business concepts, entities, relationships, hierarchies, rules, and metrics.
• Developing semantic mappings between source data, canonical models, and business ontologies.
• Implementing entity resolution, semantic enrichment, and ontology alignment.
• Building semantic layers for business queries, knowledge retrieval, and AI applications.
• Establishing semantic governance, validation, lineage, and version management.
• Collaborating with business and technical teams to create reusable semantic models.

Conhecimentos

Ontology engineering

Semantic modeling

Knowledge graph development

Enterprise data architecture

Entity resolution

Ferramentas

Neo4j

GraphDB

Amazon Neptune

Python

JSON-LD

SHACL

RDF

RDFS

OWL

SPARQL

Descrição da vaga

Job Summary

We are looking for an experienced Knowledge, Ontology & Semantic Modeler with 6-8+ years of experience in ontology engineering, semantic modeling, knowledge graph development, or enterprise data architecture. The candidate will be responsible for designing enterprise ontologies, taxonomies, semantic models, and knowledge graphs to establish consistent business meaning across multiple data sources.

The role involves defining business concepts, entities, relationships, hierarchies, rules, and metrics; developing semantic mappings between source data, canonical models, and business ontologies; and implementing entity resolution, semantic enrichment, and ontology alignment.

The candidate should have strong knowledge of RDF, RDFS, OWL, SKOS, SPARQL, JSON-LD, and SHACL, along with experience in graph databases such as Neo4j, GraphDB, or Amazon Neptune.

The role also involves building semantic layers for business queries, knowledge retrieval, and AI applications; establishing semantic governance, validation, lineage, and version management; and collaborating with business and technical teams to create reusable semantic models. Familiarity with LLMs, RAG, Graph RAG, hybrid retrieval, Python, metadata management, and semantic web libraries will be an added advantage.

Responsibilities

• Designing enterprise ontologies, taxonomies, semantic models, and knowledge graphs to establish consistent business meaning across multiple data sources.
• Defining business concepts, entities, relationships, hierarchies, rules, and metrics.
• Developing semantic mappings between source data, canonical models, and business ontologies.
• Implementing entity resolution, semantic enrichment, and ontology alignment.
• Building semantic layers for business queries, knowledge retrieval, and AI applications.
• Establishing semantic governance, validation, lineage, and version management.
• Collaborating with business and technical teams to create reusable semantic models.

Qualifications

• Strong knowledge of RDF, RDFS, OWL, SKOS, SPARQL, JSON-LD, and SHACL.
• Experience in graph databases such as Neo4j, GraphDB, or Amazon Neptune.
• Familiarity with LLMs, RAG, Graph RAG, hybrid retrieval, Python, metadata management, and semantic web libraries will be an added advantage.

Location -

Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote