Job Title:
AI/ML Manager (Neo4j)
Company: AppleTech
Location: New delhi, Delhi
Created: 2026-01-21
Job Type: Full Time
Job Description:
About AppleTechWe are a CMMI 3 and an ISO 9001:2015 Certified web, mobile and software applications development company based in India. We are experts in development, customization and integration of complex enterprise-level solutions offering a well-balanced blend of technology skills, domain knowledge, hands-on experience, effective methodology, and passion for IT.We have extensive experience working on .NET, Python, Android and iOS technologies. We have served various industries and domains including real estate, healthcare, eCommerce, education, manufacturing, travel among others.Experience : 2-4 yrsRole SummaryWe are seeking an Ontology & Semantics Architect to design and implement semantic graph models that underpin enterprise knowledge graph solutions. This role focuses on creating robust ontologies and graph architectures that enable rich relationship modeling, semantic reasoning, and advanced graph analytics using Neo4j.Key Responsibilities· Design and maintain domain ontologies and semantic graph data models· Architect, implement, and evolve enterprise knowledge graphs using Neo4j· Lead ontology and semantic modeling using OWL, RDF, and SPARQL.· Architect scalable data pipelines and analytics workflows using Databricks.· Translate conceptual and semantic models into efficient property graph schemas· Enable semantic search, inference, and explainable AI capabilities· Collaborate closely with domain experts, data architects, and graph engineersPreferred Experience & Skills· Expert-level experience with Neo4j, Cypher, Neo4j Aura, and Graph Data Science (GDS).· Strong background in knowledge graph design and graph data modeling· Experience integrating RDF/OWL ontologies or mapping semantic models to property graphs· Mandatory hands-on experience with Databricks for large-scale data processing and analytics.· Strong understanding of cloud platforms (AWS, GCP, or Azure).· Solid understanding of semantic technologies and graph-based analytics