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Convegenius
Ontology Engineer
India · Director
Recently posted - highest visibilityVerified listingPosted 20h ago
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14 listedReturn On InvestmentGraph DatabaseSemantic SearchAdaptive LearningSemantic TechnologyInformation SciencesSemantic WebApache Jena+6 more
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Job description
Does working for 150+ million children of Bharat excite you?
Then this opportunity is for you!
About us:
ConveGenius is an impact-first organisation, building platforms and systems for public education and skilling at population scale. We work closely with governments, ecosystem partners, social enterprises, philanthropies and individual & institutional investors, with a goal to deliver the highest return on investment across offerings that improve learning, teaching, and governance.
Unlike traditional ed-tech companies that deliver content, we build infrastructure platforms that integrate deeply into public delivery systems, while enabling our partners to scale their missions with measurable results. Today, we operate across 22+ Indian states, trusted by governments and institutional investors alike, for aligning policy priorities with last mile impact. What started with belief and hope 13 years ago is now backed by evidence.
Our offerings include
- SwiftChat (the platform on which we build with ecosystem partners)
- SwiftPAL - validated by a two-year RCT led by Nobel laureate Prof. Michael Kremer (Development Innovation Lab, University of Chicago), whose team found students gained "almost an additional 2 years of extra learning" in just 17 months
- Swiftee (the AI learning tutor built for Bharat).
Our team comprises of thinkers, builders, innovators, and doers who show up every day with a strong action bias to build for Bharat.
Learn more about us: https://linktr.ee/convegenius11
Key Responsibilities:
•Design and maintain domain ontologies covering educational content, skills taxonomies, learner
models and curriculum structures.
•Define ontology standards, schema versioning and governance processes across the
knowledge platform.
• Model entities, relationships and semantic hierarchies using RDF / OWL and property-graph
representations.
• Build and maintain knowledge base construction and entity resolution pipelines from
heterogeneous data sources.
• Support GraphRAG architectures by structuring ontologies for LLM retrieval pipelines and
contextual AI responses.
•Define and enforce knowledge quality standards, including completeness checks, consistency
validation and remediation workflows.
• Work with graph database teams on query patterns, index design and performance tuning of
ontology-backed queries.
•Design semantic search capabilities that combine graph-native and vector-based hybrid
retrieval approaches.
• Collaborate with ML and product teams on graph-native features such as recommendations,
adaptive learning paths and gap detection.
•Document ontology design decisions, mapping rules and controlled vocabularies for
platform-wide adoption.
• Evaluate and evolve semantic technology standards as platform and data complexity scales.
Qualifications:
• B.Tech / B.E. / M.Tech / MCA in Computer Science, Information Science or equivalent.
• 4+ years of experience in ontology engineering, knowledge representation or semantic data
modelling.
• Experience building and maintaining large-scale domain ontologies and knowledge graphs in
production environments.
Must-have skills:
• Ontology & Knowledge Modelling – Designing domain ontologies, taxonomies and semantic
hierarchies.
• RDF / OWL / SPARQL – Semantic web standards for representing, reasoning over and querying
knowledge.
• Property Graphs & Cypher – Graph-native modelling and querying with Neo4j, JanusGraph,
Apache Jena or similar.
• Knowledge Graph Construction – Entity resolution and knowledge base pipelines from
heterogeneous sources.
• Ontology Governance – Schema versioning, quality standards, consistency validation and
remediation.
• Semantic Technologies & Reasoning – Inference pipelines and graph-based data integration.
• GraphRAG & Semantic Search – Structuring ontologies for LLM retrieval and hybrid
graph-vector search.
• Problem Solving – Ability to model ambiguous domains into clean, scalable semantic
structures.
What We Offer and Why You Should Join ConveGenius:
At ConveGenius, we create an environment where purpose meets growth. You will be part of a mission driven organization that is transforming how learning reaches children across India, especially at scale and where it matters most.
- Work with a diverse and passionate team spread across India, bringing together people from different backgrounds, perspectives, and expertise.
- Be part of an organization with a strong on ground presence across more than two thirds of India, giving you exposure to large scale, real world impact.
- Play a meaningful role in strengthening the education ecosystem and contributing directly to learning outcomes for millions of children.
- Gain experience working at the intersection of education, technology, and public systems, building skills that are highly relevant and future focused.
- Work in a culture that values ownership, learning, and collaboration, with space to take initiative and grow professionally.
- Enjoy stability and peace of mind with employee friendly benefits, including health insurance coverage and other supportive policies.
- If you are driven by purpose, enjoy solving complex problems, and want your work to create visible impact, ConveGenius offers a place to grow while making a difference.
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