Role Overview
We are seeking an experienced Ontology Specialist to build the semantic foundation of an enterprise Data & AI ecosystem. The role involves designing and implementing enterprise ontologies, knowledge graphs, and reusable semantic models to connect fragmented data across product engineering, manufacturing, supply chain, operations, and commercial functions.
The specialist will collaborate with business stakeholders, enterprise architects, data engineering teams, and AI professionals to develop contextual, governed, and AI-ready data assets that enable advanced analytics, intelligent decision-making, digital twins, recommendation systems, and enterprise AI solutions.
Key Responsibilities
• Design, develop, and implement enterprise ontologies and knowledge graphs across product engineering, manufacturing, supply chain, and operations domains.
• Define graph schemas, taxonomies, controlled vocabularies, and semantic models aligned with enterprise lakehouse platforms, Power BI, AI/ML pipelines, and business applications.
• Integrate structured, semi-structured,



and unstructured data using Python, Spark/PySpark, SQL, and data orchestration pipelines.
• Implement entity resolution, relationship extraction, semantic enrichment, and knowledge graph construction.
• Develop and optimize graph queries and analytics using SPARQL, Cypher, Gremlin, and KQL graph semantics.
• Optimize graph performance through effective indexing, partitioning, caching, and query tuning.
• Integrate knowledge graphs with Azure OpenAI, Microsoft Copilot, and agentic AI frameworks to enable GraphRAG, hybrid retrieval, semantic grounding, and explainable AI outcomes.
• Establish ontology lifecycle governance, including semantic consistency, metadata management, data lineage, stewardship, versioning, and change control.
• Collaborate with domain experts, business stakeholders, data architects, and AI teams to translate business requirements into scalable semantic solutions.
• Serve as a tec

📌 Ontology Specialist (Bengaluru)
🏢 Unison Group
📍 Bengaluru