Key Responsibilities
- Architect, develop, and optimize data models using Neo4j or other graph databases.
- Implement solutions using modern AI/ML frameworks to build, train, and deploy machine learning models at scale.
- Apply graph-based data science algorithms, including centrality, community detection, and link prediction, using Neo4j GDS.
- Design and implement advanced search and traversal algorithms for complex data structures.
- Work on large-scale, highly interconnected datasets to uncover patterns, insights, and business value.
- Use your mathematical expertise to solve algorithmic and analytical challenges.
- Collaborate with cross-functional teams to integrate graph-based intelligence into scalable software systems.
- Stay updated with the latest advancements in graph data science, AI, and related technologies.
- A quick learner with a proven ability to be adaptive to new technologies and evolving project requirements.
- Exceptional analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Integration
