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# Machine Learning Engineer

- **Company:** NT Concepts
- **Location:** Vienna, VA, United States (Remote available)
- **Salary:** $120,336.0 - $180,504.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Microsoft Azure, Computer Programming, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, NumPy, OpenCV, Tensorflow, Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Git, Containerization, Kubernetes, Machine Learning Operations, Docker, Data Generation
- **Published:** September 7, 2026
- **Apply:** https://jobs.military.com/career/330941/machine-learning-engineer-virginia-va-chantilly

## About the Role

* Hands-On Experience: Demonstrated professional experience developing, testing, and deploying machine learning models into real-world or production environments.\n
 * Deep Learning & CV: Strong programming skills in Python and hands-on experience with deep learning frameworks (primarily PyTorch, OpenCV, TensorFlow, or NumPy).\n
 * ML Lifecycle & MLOps: Practical familiarity with containerization (Docker, Kubernetes) and ML lifecycle/pipeline platforms (e.g., MLflow, Kubeflow, AWS SageMaker).\n
 * Cloud & DevOps Foundations: Familiarity working in cloud environments (AWS, Azure, or GCP) and modern development practices (Git, CI/CD pipelines, Agile methodologies).\n
 * Customer & Mission Mindset: Ability to understand the end-user's mission objectives, iterate based on user feedback, and clearly communicate technical approaches.\n, * Experience working within secure, air-gapped, or classified cloud environments (e.g., AWS GovCloud / C2S).\n
 * Experience with synthetic data generation techniques or multi-modal models.\n
 * Exposure to Large Language Models (LLMs) or generative AI workflows.\n
 * Familiarity with distributed model training and GPU resource management.\n



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