Job Description :

Title : Principal/ Senior AI Engineer- Graph Data Science

Experience : 4 to 7 years

Location : Hyderabad

Must Haves :

AI/Machine Learning/Neural Network

Role And Responsibilities :

We are seeking a highly skilled Principal/Senior AI Engineer Graph Data Science to join our advanced analytics and AI team. The ideal candidate will have strong expertise in graph theory, knowledge graphs, graph neural networks (GNNs), and large-scale graph data processing, combined with hands-on experience in building AI/ML solutions that drive business impact.

- Python ecosystem/API for graph database

- GraphRAG for for graph database

- MCP server for graph database

- AI tooling integration, e.g. LangChain, LlamaIndex, NER

Requirements :

- Python and Graph Database

- Building Gen.AI apps

- Design, develop, and deploy graph-based machine learning models (e.g., Graph Neural Networks, Node Classification, Link Prediction, Community Detection).

- Work with large-scale graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and optimize graph queries.

- Implement GraphQL / graph pipelines for scalable data processing and integration.

- Collaborate with data engineers to build robust data pipelines for ingesting and processing graph data.

- Research and apply state-of-the-art graph AI techniques to solve real-world business problems (recommendation systems, fraud detection, knowledge graph reasoning, etc.).

- Mentor and guide junior engineers and data scientists in graph data science best practices.

- Work cross-functionally with product and business teams to translate requirements into AI-driven graph solutions.

- Ensure scalability, performance, and security of deployed AI/ML solutions.

- Stay up to date with emerging trends in AI, Graph ML, and Data Science, and drive innovation in the organization.

4+ years of experience in AI/ML, with at least 4+ years in Graph Data Science.