GA-CCRi was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time.  Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground.  These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!  

We are seeking a versatile and highly skilled Principal Full Stack Machine Learning Engineer to join our innovative team. This role requires not only technical proficiency but also the ability to transform customer insights into cutting-edge solutions. You will lead projects from research and prototyping through full production, ensuring impactful delivery and seamless customer interaction.

DUTIES AND RESPONSIBILITIES:End-to-End Development:Architect, design, develop, test, and deploy scalable applications across the technology stack.Integrate robust back-end systems with responsive front-end interfaces for optimal user experiences.Data Science Integration:Work with large datasets to derive actionable insights and guide feature development.Build and deploy machine learning models to enhance product functionality and decision-making capabilities.Collaborate with data scientists to transform algorithms and research into production-ready systems.Customer-Focused Innovation:Partner with customers to identify opportunities for data-driven improvements in workflows and solutions.Incorporate customer feedback into system enhancements, prioritizing usability and impact.Research and Prototyping:Explore emerging technologies and methodologies to inform product development and drive innovation.Rapidly prototype new ideas to validate concepts before committing to full-scale builds.Production Expertise:Design and maintain highly available systems that deliver real-time data insights and scalable performance.Manage production pipelines, including debugging, performance tuning, and system monitoring.Team Leadership:Mentor team members in best practices for software engineering, data handling, and end-to-end delivery.Foster a collaborative environment to drive technical excellence and knowledge sharing.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.