This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ontology Engineer based in India.
This role offers the opportunity to shape the future of intelligent data systems by designing semantic models that power AI-driven applications.
You will work at the intersection of data engineering, knowledge representation, and artificial intelligence to create structured, machine-interpretable information frameworks.
The position focuses on improving data interoperability, enhancing information retrieval, and enabling more accurate AI outcomes.
You will collaborate with technical and business teams to transform complex knowledge into scalable ontology solutions.
This is an ideal opportunity for professionals passionate about semantic technologies, knowledge graphs, and the evolution of AI systems.
Your expertise will directly contribute to building smarter, more reliable, and context-aware digital solutions.
Accountabilities:
- Design, develop, and maintain enterprise ontologies using semantic web standards and ontology development best practices.
- Build and manage formal knowledge frameworks that enable machine-readable, interoperable, and scalable data models.
- Map business concepts, internal terminology, and proprietary data models to industry-standard ontologies and reference frameworks.
- Develop semantic models that support seamless data integration across multiple systems and business domains.
- Collaborate with AI engineers, data scientists, product teams, and subject matter experts to structure knowledge for AI, machine learning, and knowledge graph applications.
- Create semantic models that improve AI performance, enhance contextual understanding, reduce hallucinations, and strengthen information retrieval capabilities.
- Translate business requirements and competency questions into scalable ontology models and knowledge structures.
- Design and maintain taxonomies, controlled vocabularies, metadata standards, and semantic governance frameworks.
- Document ontology design processes, governance practices, and maintenance guidelines.
- Ensure ontology quality, consistency, scalability, and alignment with organizational data governance standards.
- Support knowledge graph implementation, semantic search initiatives, and advanced data integration projects.
Requirements:
- 5+ years of experience in ontology engineering, semantic data modeling, knowledge representation, or related fields.
- Strong expertise in Semantic Web technologies, including RDF, RDFS, OWL, and SPARQL.
- Deep understanding of semantic data modeling concepts, linked data principles, and ontology design methodologies.
- Hands-on experience with ontology development tools such as Protégé, TopBraid Composer, PoolParty, CENtree, or similar platforms.
- Strong programming skills in Python for scripting, automation, and ontology processing tasks.
- Experience working with data formats including JSON, XML, Turtle (TTL), and RDF serialization formats.
- Familiarity with APIs, data integration workflows, and enterprise data environments.
- Understanding of knowledge graph technologies and semantic search solutions is highly desirable.
- Strong analytical and problem-solving skills with the ability to translate complex business concepts into structured data models.
- Ability to collaborate effectively with technical and non-technical stakeholders in a remote environment.
Benefits:
- Fully remote work opportunity.
- Opportunity to work on advanced AI, semantic data, and knowledge graph initiatives.
- Chance to contribute to innovative solutions improving intelligent data systems.
- Collaborative environment with exposure to cross-functional technical teams.
- Professional growth opportunities in emerging AI and data technologies.
- Opportunity to work on challenging projects involving enterprise knowledge modeling and AI optimization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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