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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Data Computer Corporation Of America - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $195,000.0 - $259,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, C++ (Programming Language), Cloud Computing, Cyber Security, Information Systems, Continuous Delivery, Continuous Integration, Information Engineering, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, Signal Processing, Software Engineering, Systems Architecture, Enterprise Software Applications, Pytorch, Deep Learning, Keras, Git, Gitlab-ci, Scikit Learn, Kubernetes, Information Technology, Real Time Data, Machine Learning Operations, Cyber Warfare, Docker, Jenkins, Programming Languages, Microservices - **Published:** August 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88047172/1 ## About the Role * Experience: Minimum of 5+ years of hands-on experience in software engineering with a primary focus on deploying and operationalizing AI/ML models. * Programming Languages: Expert-level proficiency in Python, as well as strong capabilities in Java, C++, or Go. * Machine Learning Frameworks: Deep technical knowledge of industry-standard AI/ML frameworks such as TensorFlow, PyTorch, Keras, and Scikit-Learn. * Cloud & MLOps: Proven experience with AWS machine learning services (e.g., SageMaker) and building automated MLOps pipelines using Git, Jenkins, or GitLab CI. * Clearance: TS/SCI w/Poly Desired Skills : * Prior experience in engineering AI solutions for federal agencies, including the Department of Defense (DoD), Defense Information Systems Agency (DISA), or the Intelligence Community. * Familiarity with Cognitive Automation and Robotic Process Automation (RPA) tools. * Experience with advanced AI disciplines, including Deep Learning for Signal Processing and Electronic Warfare integration. * Active industry-recognized certifications (e.g., AWS Certified Machine Learning - Specialty, SAFe Agile Certification). Education/Certifications: * Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Data Engineering, or a related highly technical discipline. ## Description * Model Deployment & MLOps: Architect, implement, and manage scalable MLOps pipelines for the continuous integration, continuous delivery (CI/CD), and continuous training (CT) of machine learning models within AWS GovCloud environments. * AI/ML Integration: Seamlessly integrate predictive models, Natural Language Processing (NLP) algorithms, and deep learning neural networks into production microservices and enterprise applications. * Algorithm Optimization: Optimize machine learning models for performance, latency, and scalability, ensuring they can process large volumes of real-time data efficiently. * Cybersecurity & Defensive AI: Leverage machine learning for cybersecurity by integrating AI-driven threat detection, fraud prevention algorithms, and defensive cyber operations into system architectures. * Edge AI & System Sustainment: Design lightweight AI models for Edge AI applications, ensuring high-performance computing capabilities are pushed closer to data sources where required by the mission. * Infrastructure Management: Utilize cloud-native AI/ML services (e.g., AWS SageMaker) and container orchestration platforms (e.g., Docker, Kubernetes) to provision and scale AI infrastructure dynamically. * Compliance & Security: Ensure all AI/ML implementations strictly comply with the Risk Management Framework (RMF), NIST 800-53 security controls, and federal guidelines for algorithmic fairness and data privacy. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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