Semantic AI/ML Engineer

About the Position

We are seeking a Senior Semantic AI/ML Engineer to implement semantic data frameworks in Noida, India. This role involves building and maintaining ontologies and knowledge graphs.

Responsibilities

• Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization.
• Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model.
• Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph.
• Validation Rules & Data Quality: Implement semantic validation rules and consistency checks to ensure data integrity and quality within the ontology and knowledge graph.
• Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows.
• Collaboration & Cross-Functional Support: Collaborate with cross-functional teams and stakeholders to incorporate the knowledge graph into AI-driven solutions and align the semantic models with business needs.
• Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications.
• Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices, and continuously improve the semantic architecture.

Requirements

• 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 and RDF for ontology modelling, and 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.
• Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar).

Nice to Have

• Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies.
• AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.
• Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.
• Tools & Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development opportunities

About the Company

Join our team in Noida, India, and contribute to building robust semantic data frameworks that enhance enterprise data quality and integration.

Languages

• English: C1 Advanced

Experience Level

• Senior