Senior Machine Learning Engineer

Machine Learning EngineerPrime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.Our work spans the full system lifecycle—from R&D to operational deployment—supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.Position OverviewTurn machine learning into real-world mission capability.PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.What You'll DoDesign, build, and maintain ML pipelines for data preparation, training, evaluation, and deploymentDevelop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlowIntegrate models into production systems (APIs, batch pipelines, real-time services)Implement model validation, evaluation metrics, and performance monitoringImprove model accuracy, scalability, and efficiency through tuning and data strategy improvementsCollaborate with data engineers and domain experts to prepare and validate datasetsPartner with DevSecOps/MLOps teams to deploy ML solutions in secure environmentsTroubleshoot model and pipeline issues; perform root cause analysis and optimizationContribute to technical documentation, test plans, and operational runbooksParticipate in design reviews, architecture discussions, and Agile development processesMentor junior engineers and promote engineering best practicesRequirementsU.S. CitizenshipActive Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)Bachelor's degree in Computer Science, Engineering, Data Science, or related field4+ years of experience in:Machine Learning EngineeringApplied AI/ML developmentProduction ML systemsStrong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)Experience developing, training, and deploying ML models in real-world applicationsSolid understanding of the ML lifecycle (data? training? validation? deployment? monitoring)Experience building maintainable, production-quality softwareFamiliarity with Docker and cloud environments (AWS, Azure, or GCP)Experience working in Agile and CI/CD environmentsStrong problem-solving, communication, and collaboration skillsPreferred QualificationsMaster's degree in a related fieldExperience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)Experience transitioning models from research to production environmentsFamiliarity with experiment tracking, model versioning, and reproducibility practicesExperience with GPU-based ML workflows and cloud ML platformsBackground in defense, intelligence, or other regulated environmentsWhy Join PSG?At PSG, you're not just taking a job—you're building technology that matters.Competitive compensation & benefits9/80 flexible work scheduleProfessional development & tuition assistanceSmall, agile team with high ownership and visibilityWork on mission-critical systems supporting national securityOpportunities to grow across AI/ML, software engineering, and platform developmentBring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.