Senior Machine Learning Engineer

Prime 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 Overview

Turn 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 Do

• Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment 
• Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow 
• Integrate models into production systems (APIs, batch pipelines, real-time services) 
• Implement model validation, evaluation metrics, and performance monitoring 
• Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements 
• Collaborate with data engineers and domain experts to prepare and validate datasets 
• Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments 
• Troubleshoot model and pipeline issues; perform root cause analysis and optimization 
• Contribute to technical documentation, test plans, and operational runbooks 
• Participate in design reviews, architecture discussions, and Agile development processes 
• Mentor junior engineers and promote engineering best practices

• U.S. Citizenship 
• Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) 
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field 
• 4+ years of experience in: 
  • Machine Learning Engineering 
  • Applied AI/ML development 
  • Production ML systems 
• Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) 
• Experience developing, training, and deploying ML models in real-world applications 
• Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring) 
• Experience building maintainable, production-quality software 
• Familiarity with Docker and cloud environments (AWS, Azure, or GCP) 
• Experience working in Agile and CI/CD environments 
• Strong problem-solving, communication, and collaboration skills 

Preferred Qualifications

• Master’s degree in a related field 
• Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) 
• Experience transitioning models from research to production environments 
• Familiarity with experiment tracking, model versioning, and reproducibility practices 
• Experience with GPU-based ML workflows and cloud ML platforms 
• Background in defense, intelligence, or other regulated environments 

Why Join PSG?

At PSG, you’re not just taking a job—you’re building technology that matters.

• Competitive compensation & benefits 
• 9/80 flexible work schedule 
• Professional development & tuition assistance 
• Small, agile team with high ownership and visibility 
• Work on mission-critical systems supporting national security 
• Opportunities to grow across AI/ML, software engineering, and platform development 

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.

Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.