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330 Security and Intelligence Services (India) Jobs
Lead Knowledge Engineer
Security and Intelligence Services (India)
posted 18hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery
- Design and prototype data / software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts
- Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met
- Influence the strategic semantic vision, roadmap, and next-generation architecture
- Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains
- Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment
- Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools
- Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence
- 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred
- 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization
- Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus
- Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management)
Employment Type: Full Time, Permanent
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