Key Responsibilities
- Design and develop scalable knowledge graph architectures to support generative AI applications
- Implement and optimize graph-based machine learning models for knowledge extraction and reasoning
- Collaborate with cross-functional teams to integrate knowledge graphs into AI pipelines
- Lead research and development in advanced AI techniques for structured knowledge representation
- Mentor junior engineers and contribute to technical roadmaps
- Ensure system scalability, performance, and reliability for enterprise-grade deployments
Requirements
- 7+ years of experience in AI/ML with expertise in knowledge graphs
- Strong proficiency in Python and graph database technologies (Neo4j, Amazon Neptune)
- Hands-on experience with generative AI models and NLP techniques
- Proven track record in designing and deploying large-scale knowledge systems
- Experience with distributed computing and cloud platforms (AWS/GCP)