Machine Learning Implementation Engineer, AI (SFIA4)
Core
Maturing research-grade AI/ML models into robust, production-ready software for the National Security Domain, focusing on system integration and edge optimization.
Role type
Senior Machine Learning Implementation Engineer
Builds
Production-ready AI software and integrated systems for public sector projects
Domain
National Security / Public Sector / Applied AI
Deliverable
production ML models
Required skills
Machine learning algorithms, software engineering best practices, model maturation, system integration, edge optimization, deployment of complex ML models, data science techniques, generative AI implementation
Preferred skills
Technical decision influence, mentoring, prototyping, evaluating new generative AI technologies
Technologies
ML frameworks, Android-based mobile devices, cloud platforms (implied by deployment context)
Responsibilities
Design and refactor complex ML models for high-performance production; integrate ML models into broader software architectures; optimize models for resource-constrained edge environments; solve complex technical hurdles during prototype-to-product transition
Seniority
Senior, hands-on IC with mentorship responsibilities
