Senior Applied Scientist - Knowledge Graphs & AI

📋 Description Design and implement per-tenant knowledge graph components Build entity resolution and ontology population in graphs Create pipelines to extract knowledge from unstructured data Implement graph traversal and feature queries for scoring signals Train and evaluate graph embeddings; track performance Collaborate with engineers to deploy models in production 🎯 Requirements PhD in CS/NLP/ML or related field; MS + 2 years considered Production-grade Python; graph DBs like Neo4j, SPARQL, Cypher Proven ability to build and evaluate ML models; measure performance Strong ownership and end-to-end responsibility Excellent communication to explain concepts to engineers/product managers Eager to learn knowledge graphs and applied NLP 🎁 Benefits 25 days vacation plus sick time Group medical policy for employees + up to 5 family OPD coverage up to INR 10,000 Life and personal accident insurance (3x annual CTC) 26 weeks maternity leave and 15 days paternity leave RSU program and equity opportunities