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Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:
Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
About the Role
Job Purpose:
The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.
Key Responsibilities:
Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:
Maintenance manuals
Product design documents
Troubleshooting guides
Lessons learned reports
Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
Design, construct, and maintain knowledge graphs, including:
Schema and ontology design
Entity and relationship modelling ...
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