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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 26-6064: AI/ML Engineer - DC Metro - Secret - **Company:** Navitas Business Consulting Inc - **Location:** Herndon, VA, United States - **Salary:** $80,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Distributed Computing Environment, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Enterprise Software Applications, Pytorch, Scikit Learn, Enterprise Integration, Machine Learning Operations, Oracle Cloud Infrastructure, Data Pipelines, Devsecops - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=53ffea6212d42909 ## About the Role * Experience with Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. * Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, OCI Data Science). * Strong understanding of data engineering concepts, including ETL/ELT, feature stores, and distributed processing. * Familiarity with MLOps practices, CI/CD pipelines, and automated model deployment workflows. * Knowledge of security and compliance requirements for government or regulated environments. * Ability to translate complex analytical concepts into clear, actionable insights. Salary Range: $80,000 - $160,000 The pay range provided is a good-faith estimate and represents the range the company reasonably expects to pay for this position at the time of posting. Individual compensation may vary based on skills, experience, education, certifications, geographic location, and business needs. ## Description Navitas is seeking an experienced AI/ML Engineer to design, develop, and optimize advanced Artificial Intelligence and Machine Learning solutions that enhance operational, analytical, and decision-support capabilities across mission-critical environments. This role blends hands-on engineering, applied data science, and enterprise integration, ensuring models, pipelines, and tools align with established architecture, performance, and security requirements. The ideal candidate thrives in complex environments, leverages both commercial and government technologies, and delivers scalable, production-ready AI/ML solutions. Responsibilities will include but are not limited to: * Design, develop, and optimize AI/ML models to support predictive analytics, automation, and decision-support functions. * Build, maintain, and enhance data pipelines that support model training, tuning, validation, and deployment. * Train, evaluate, and refine algorithms using modern ML frameworks, ensuring accuracy, reliability, and performance. * Deploy AI/ML models into production environments, integrating with enterprise systems, APIs, and cloud platforms. * Identify, evaluate, and integrate appropriate COTS, government, and custom AI/ML tools within established enterprise frameworks. * Ensure all AI/ML solutions meet security, compliance, and performance requirements, including alignment with enterprise architecture standards. * Collaborate with data engineers, cloud engineers, DevSecOps teams, and mission stakeholders to deliver scalable, maintainable AI/ML capabilities. * Support model monitoring, drift detection, retraining workflows, and continuous improvement cycles. * Document and communicate technical approaches, model behavior, and analytical insights to both technical and non-technical audiences. * Contribute to modernization initiatives by recommending new methodologies, tools, and best practices in AI/ML engineering. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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)