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