AI/ML Engineer

teKnoluxion•Springfield, VA

4d•$180,000 - $220,000•Onsite

About The Position

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team as an AI/ML Engineer, supporting the NGA customer mission.

Requirements

Active TS clearance (with SCI Eligibility) and CI Poly
Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
3+ years of machine learning/statistical modeling data analysis tools and techniques
Must be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed
Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Must be willing to work in SCIF at AWS Herndon or Springfield, VA Site up to 100% of each week

Nice To Haves

Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks
Intelligence Community Experience preferred

Responsibilities

Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code.
Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments.
Build and optimize CI/CD pipelines for complex microservices architectures.
Develop and maintain full-stack applications while ensuring operational excellence and reliability.
Implement monitoring, logging, and alerting solutions for production systems.
Drive security-first infrastructure design and implementation.
Mentor team members on DevOps best practices and cloud-native technologies