Semantic AI​/ML Engineer

We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role, you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. This position is industry‑agnostic, emphasizing strong semantic web expertise and the ability to apply it across diverse enterprise contexts.

• Ontology Design & Maintenance:
  Develop and maintain ontologies (OWL/RDF) that model enterprise data domains and relationships.
• Knowledge Graph Development:
  Build and manage enterprise knowledge graphs, linking diverse data sources into unified graph models.
• Semantic Querying (SPARQL):
  Create and optimize queries to enable efficient retrieval and analysis of linked data.
• Validation Rules & Data Quality:
  Implement semantic validation rules (SHACL, OWL constraints) to ensure data integrity.
• Integration with Enterprise Systems:
  Embed semantic models in data pipelines, APIs, and databases for seamless adoption.
• Collaboration & Cross‑Functional Support:
  Partner with AI/ML teams, analysts, and stakeholders to align semantic models with business needs.
• Integration with AI Agents:
  Enable AI systems and LLMs to leverage ontologies and knowledge graphs for context‑aware reasoning.
• Standards & Best Practices:
  Stay current with semantic web standards and contribute to internal guidelines for semantic data management.

• Proven experience designing and maintaining ontologies (OWL/RDF).
• Strong proficiency with semantic web technologies and standards (OWL, RDF, SPARQL).
• Practical experience building or maintaining knowledge graphs in enterprise settings.
• Solid understanding of data modelling principles and integration of heterogeneous data sources.
• Programming proficiency (Python, Java, or similar).

• Familiarity with metadata standards (Dublin Core, schema.org, industry ontologies).
• Experience integrating semantic technologies into enterprise systems.
• Exposure to AI/LLM projects leveraging ontologies or knowledge graphs.
• Hands‑on experience with ontology and knowledge graph tools/platforms.

• Shape enterprise data frameworks through cutting‑edge semantic web technologies.
• Collaborate with global AI and data teams on transformative projects.
• Drive adoption of ontologies and knowledge graphs across diverse industries.
• Enjoy professional growth, innovation, and impact at scale.

Ready to bring semantic clarity to enterprise data? Apply now and join a team where knowledge graphs meet intelligent applications.