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# Machine Learning Engineer

- **Company:** PREMIER SOLUTIONS GROUP, LLC
- **Location:** United States
- **Experience:** Expert
- **Salary:** $110,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Data Cleansing, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Azure Machine Learning, Software Engineering, Software Systems, Google Cloud, Cloud Platform System, Pytorch, Model Validation, Data Strategy, Pandas, Scikit Learn, Information Technology, Performance Monitor, Machine Learning Operations, Software Version Control, Devsecops, Docker
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/d52a27ad-abd0-4612-a441-77e3077cb0a5

## About the Role

* 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 Google Cloud Platform)
 * Experience working in Agile and CI/CD environments
 * Strong problem-solving, communication, and collaboration skills, * 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

## Description

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


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