data. Build entity extraction, entity resolution, deduplication, and similarity-matching workflows. Connect AI outputs with taxonomy, ontology, RDF, and knowledge graph layers. Design evaluation, benchmarking, validation, and error-analysis processes. Improve data quality, consistency, explainability, provenance, and semantic alignment. Collaborate with engineering, product, and domain teams to turn business requirements … entity resolution semantic enrichment recommendation systems semantic search information retrieval NLP data quality automation Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis. Ability to document technical work clearly and communicate across technical and non-technical teams. Interest in semantic web technologies, knowledge graphs, ontologies ...