JOB TITLE: Knowledge Graph Expert – Graph Integration with AI

JP ID: DLTJP00062611

Client: Deloitte USI

Experience: 4–8 Years Overall

Relevant Experience: Minimum 2+ Years in Graph-AI Integration

Work Location: Bengaluru / Hyderabad / Chennai / Pune

Shift Timing: 11:00 AM – 8:00 PM

Interview Process: 2 Rounds

Client Round: Not Required

MANDATORY SKILLS

- Hands-on experience in Knowledge Graph design, data modeling, and development.
- Strong experience with graph databases such as Neo4j, Amazon Neptune, TigerGraph, Stardog, or GraphDB.
- Proficiency in graph query languages, including GraphQL, Cypher, SPARQL, and Gremlin.
- Solid programming experience in Python.
- Ability to design, build, and optimize scalable graph-based solutions and integrate them with enterprise applications.
- Cloud platform experience is mandatory.

GOOD-TO-HAVE SKILLS
- Graph integration with AI.
- Healthcare domain experience.
- Experience with ontology design, RDF/OWL, and taxonomy development.
- Experience with entity resolution, Named Entity Recognition (NER), and relation extraction.
- Familiarity with graph libraries such as RDFLib, NetworkX, and Apache Jena.
- Familiarity with data pipeline tools such as Apache Airflow and Spark.

ROLE OVERVIEW Design, build, and maintain scalable knowledge graph solutions that support search, recommendations, data integration, and AI/ML applications. Transform disparate data sources into connected, queryable knowledge using data modeling, semantic technologies, and software engineering.

KEY RESPONSIBILITIES

- Design and implement ontologies, taxonomies, and schemas using RDF/OWL and property graphs.
- Build and maintain knowledge graph pipelines for entity extraction, resolution, linking,



and enrichment from structured and unstructured data.
- Develop and optimize graph queries using SPARQL, Cypher, Gremlin, or similar query languages.
- Integrate knowledge graphs with search, recommendation engines, and LLM-based systems, including Retrieval-Augmented Generation (RAG).
- Collaborate with data engineers, ML engineers, and domain experts to identify data sources and graph-based use cases.
- Ensure data quality, consistency, and governance, including entity deduplication and conflict resolution.
- Evaluate and select appropriate graph databases and tools.
- Monitor and improve graph performance, scalability, and reliability in production.
- Stay updated on semantic web technologies, graph ML, and knowledge representation.
- Document data models, pipelines, and best practices for internal stakeholders.

REQUIRED TECHNICAL SKILLS
- Knowledge graph development and semantic data modeling.
- Graph databases: Neo4j, Amazon Neptune, TigerGraph, Stardog, or GraphDB.
- Query languages: GraphQL, Cypher, SPARQL, and Gremlin.
- Ontology design, RDF/OWL, and taxonomy development.
- Python or Java programming and graph libraries.
- Entity resolution, NER, and relation extraction.
- Data pipeline tools and workflows such as Apache Airflow and Spark.
- Strong analytical and problem-solving skills with attention to data quality.

IMPORTANT SCREENING POINTS
- Overall experience must be 4–8 years.
- Minimum 2+ years of relevant hands-on Graph-AI integration experience.
- Cloud platform experience is mandatory.
- Prioritize candidates with hands-on Knowledge Graph development and enterprise integration experience.

Pay: Up to ₹2,100,000.00 per year Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

📌 Knowledge Graph Expert – Graph Integration with AI (Bengaluru)
🏢 Clock Edge Technologies Pvt Lt
📍 Bengaluru