Data Scientist with Graphs, RAG, LPG, Neo4J experience (W2 – Requirement)

Role: Data Scientist with Graphs, RAG, LPG, Neo4J experience (W2 – Requirement)

Location: Basking Ridge, NJ(Onsite)

Duration: Long term

Position Summary:

We are seeking a Data Scientist with expertise in RDF or Labeled Property Graph (LPG) technologies to develop and integrate knowledge graph solutions into Retrieval-Augmented Generation (RAG) workflows and Large Language Models (LLMs). The ideal candidate will have strong experience with Neo4j and graph query languages to drive innovation in graph-based AI applications.

Key Responsibilities:

• Build and manage knowledge graph solutions using RDF or LPG technologies.
• Integrate knowledge graphs into RAG frameworks to enhance LLM performance.
• Design and optimize graph data models using Neo4j.
• Use graph query languages like SPARQL or Cypher to manipulate and retrieve data.

Required Skills:

• Proven expertise in RDF, LPG, and Neo4j.
• Proficiency in graph query languages (SPARQL, Cypher).
• Experience integrating knowledge graphs with AI/LLM workflows.

Key Responsibilities:

• Build and manage knowledge graph solutions using RDF or LPG technologies.
• Integrate knowledge graphs into RAG frameworks to enhance LLM performance.
• Design and optimize graph data models using Neo4j.
• Use graph query languages like SPARQL or Cypher to manipulate and retrieve data.

Required Skills:

• Proven expertise in RDF, LPG, and Neo4j.
• Proficiency in graph query languages (SPARQL, Cypher).
• Experience integrating knowledge graphs with AI/LLM workflows.