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"Semantic AI/ML Engineer" Jobs in India

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Semantic AI/ML Engineer

Luxoft · Noida

MidFull-timeOnsite

Project description We are seeking a Senior Semantic Engineer to implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies

Skills

Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar). Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards - specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data. Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting. Data Modelling & Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology. Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)

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Semantic AI/ML Engineer

Luxoft · Hyderabad

MidFull-timeOnsite

Project description We are seeking a Senior Semantic Engineer to implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies

Skills

Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar). Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards - specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data. Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting. Data Modelling & Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology. Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)

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