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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer (Clearance Required) - **Company:** Noblis Inc. - **Location:** Reston, VA, United States - **Experience:** Expert - **Salary:** $171,525.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Continuous Integration, Data Cleansing, DevOps, Distributed Computing Environment, Monitoring of Systems, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Azure Machine Learning, Software Deployment, Data Processing, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Model Validation, Backend, Fastapi, Containerization, Scikit Learn, Kubernetes, Dask, Machine Learning Operations, Front End Software Development, Software Version Control, Docker - **Published:** July 13, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9027136/aiml-engineer-clearance-required ## About the Role * 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 JavaScript * Working knowledge of AWS cloud services and infrastructure * Demonstrated experience implementing MLOps and DevOps best practices * U.S. Citizenship is required, * Proficiency in Python with hands-on experience using leading machine learning frameworks, including TensorFlow, 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 SageMaker, 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 ## Description 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 DevOps 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. ## Related Videos - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)