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