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← NT Concepts

Machine Learning Engineer

NT Concepts
Location
Chantilly, VA
Posted
16 days ago
Department
Buffalo
What they actually want (must-haves)
  • Active TS/SCI clearance
  • Demonstrated professional experience developing, testing, and deploying machine learning models into real-world or production environments
  • Strong programming skills in Python
  • Hands-on experience with deep learning frameworks (primarily PyTorch, OpenCV, TensorFlow, or NumPy)
  • Practical familiarity with containerization (Docker, Kubernetes) and ML lifecycle/pipeline platforms (e.g., MLflow, Kubeflow, AWS SageMaker)
  • Familiarity working in cloud environments (AWS, Azure, or GCP) and modern development practices (Git, CI/CD pipelines, Agile methodologies)
Nice to have
  • Experience working within secure, air-gapped, or classified cloud environments (e.g., AWS GovCloud / C2S)
  • Experience with synthetic data generation techniques or multi-modal models
  • Exposure to Large Language Models (LLMs) or generative AI workflows
  • Familiarity with distributed model training and GPU resource management.
What the job really is

As a Machine Learning Engineer at NT Concepts, you will design, build, and deploy automated machine learning workflows that support national security operations. Your work will involve taking computer vision models from research to production, collaborating with mission partners, and optimizing ML pipelines using modern tools and practices. You will also focus on integrating ML models into larger systems and ensuring their performance and reliability in production environments.

Things to weigh
  • Clearance requirement may limit candidate pool
  • Hybrid/Flexible remote options mentioned, but specifics are not detailed
  • Compensation range provided, but actual salary will depend on various factors including location and experience
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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