Senior Machine Learning Engineer in Goodyear

Job DescriptionJob DescriptionDescription:

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 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

Requirements:

• U.S. Citizenship
• Active Top Secret Clearance (SCI eligibility; CI Poly 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

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 security
• Opportunities to grow across AI/ML, software engineering, and platform development

Bring your machine learning expertise to PSG and help deliver the next 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.