Senior MLOps Engineer at Analytica

This role is designed for a seasoned engineer with 7–10 years of experience who sits at the intersection of DevOps and Machine Learning. You’ll need deep expertise in building MLOps pipelines within a Department of Defense (DoD) context, focusing on systems integration for command-and-control products. A strong background in containerization (Docker/Kubernetes) and handling massive-scale data—from video to unstructured text—is essential. As a senior leader, you will shape the future of AI adoption across government agencies. The company is a fast-growing federal contractor offering a robust benefits package, including employer-paid healthcare, training funds, and a 401(k) match. The work is high-impact, directly supporting national security missions through "Responsible AI" practices and enterprise-level data mesh architectures. **You might be a good fit if you...** * Have extensive experience with ML frameworks like PyTorch or TensorFlow and pipeline tools like Kubeflow or MLflow. * Are comfortable working in a secure, on-site environment in Washington, DC. * Possess a current security clearance or have the clearability required for defense projects. * Build automated, scalable systems that handle high-stakes, real-time decision-making.