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AI​/ML Engineer; Clearance Required Security Clearance

Job in Reston, Fairfax County, Virginia, 20190, USA
Listing for: Noblis
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Position: AI/ML Engineer (Clearance Required) with Security Clearance
Responsibilities Noblis is seeking an AI/ML Engineer with a TS/SCI with Polygraph to support mission-critical national security initiatives. In this role, you will design, develop, and deploy advanced machine learning and AI solutions while building the scalable infrastructure needed to operationalize AI capabilities in secure, production environments.

Job Responsibilities:

* Model Development & Deployment
* Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
* Deploy, manage, and scale production ML workloads on Kubernetes.
* Integrate AI/ML capabilities into full-stack applications using Python-based backend services and JavaScript frontend technologies.
* Ensure model reliability, performance, and maintainability throughout the deployment lifecycle.
* Infrastructure & Operations
* Architect and implement cloud-native ML infrastructure on AWS.
* Develop and maintain Dev Ops and MLOps pipelines to streamline model development, testing, deployment, and monitoring.
* Deploy and support AI/ML systems within secure, classified, and high side environments.
* Technical Leadership
* Evaluate and integrate state-of-the-art AI/ML models, frameworks, and emerging technologies to enhance mission capabilities and accelerate innovation
* Architect scalable, resilient, and secure infrastructure to support evolving AI/ML workloads, production deployments, and mission-critical requirements
* Establish and champion best practices for production-grade machine learning (ML) systems, including MLOps, security, observability, governance.
* Provide technical guidance across AI/ML initiatives and engineering teams.

Required Qualifications
* Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph
* Bachelor's degree with 3 years of related experience; OR Master's degree with 1 years of related experience; OR associate's degree with 6 years of related experience; OR High School diploma/GED with 9 years of related experience
* Demonstrated experience deploying machine learning (ML) models to production, including large language models (LLMs)
* Demonstrated experience with machine learning (ML) frameworks and containerization technologies (e.g., PyTorch, Docker, and Kubernetes)
* Full-stack software development experience using Python and Java Script  
* Working knowledge of AWS cloud services and infrastructure
* Demonstrated experience implementing MLOps and Dev Ops best practices
* U.S. Citizenship is required Desired Qualifications
* Proficiency in Python with hands-on experience using leading machine learning frameworks, including Tensor Flow, PyTorch, or scikit-learn
* Experience designing and implementing end-to-end machine learning (ML) pipelines, including data preprocessing, feature engineering
* Familiarity with cloud-based machine learning (ML) platforms such as AWS Sage Maker, Azure Machine Learning, or Google Vertex AI
* Understanding of MLOps best practices, including model versioning, experiment tracking, model monitoring, and CI/CD for machine learning (ML) workflows using tools such as MLflow, Weights & Biases, or DVC
* Ability to collaborate with cross-functional teams including data engineers, product managers, and domain experts to translate business problems into ML solutions
* Experience working with large-scale datasets and distributed computing frameworks such as Apache Spark or Dask to support efficient data processing and model training
* Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) for scalable model serving and orchestration
* Strong communication skills with the ability to explain model behavior, trade-offs, and results to both technical and non-technical stakeholders Overview Overview Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.

We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities lis.org Why Work at Noblis At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn.

We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission-driven professionals who care deeply about doing work that enriches lives and makes our nation safer. Noblis has earned numerous workplace awards for our culture, our commitment to employee well-being, and our dedication to meaningful, impactful…
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