Delivering a customer-focused solution using machine learning to understand and process massive datasets for the DoD market, enhancing national security mission
Requirements
5+ years of experience in database development and data engineering
3+ years of experience with vector databases or graph databases
2+ years of experience supporting AI or ML workloads and data pipelines
Experience with AWS cloud services and infrastructure
Experience with specialized vector search optimization techniques
Experience with real-time streaming and low-latency data systems
Knowledge of graph neural networks and graph-based machine learning
Responsibilities
Design and implement vector and graph database architectures to support AI model training, inference, and evaluation processes
Develop and maintain data pipelines for AI ingestion, processing, and analysis workflows in AWS cloud environments
Support continuous model training and evaluation processes through optimized data storage and retrieval systems
Ensure database solutions maintain explainability and auditability requirements for AI models
Implement and maintain database systems that support DoD AI ethical principles and compliance requirements
Design, develop, and optimize vector databases for embedding storage, similarity search, and AI model support
Build and maintain graph databases for complex relationship modeling and knowledge representation
