Machine Learning Engineer with Security Clearance

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 Dev Sec Ops , 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 Tensor Flow
- 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 Dev Sec Ops /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 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 (Num Py, pandas, scikit-learn, PyTorch, Tensor Flow) - 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.