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As a Cloud/DevOps Engineer, you will enhance DoD capabilities with AI/ML solutions, managing AWS and VMware environments, automating deployments, and utilizing containerization technologies. You'll also engage in data modernization initiatives while collaborating in a culture of innovation and high-impact projects.

The AI/ML Solutions Engineer will develop, build, and test tools and applications in an R&D environment, focusing on computational linguistics, natural language processing, and computer vision techniques like generative adversarial networks and image object detection.

The Algorithm Developer will create and automate advanced correlation algorithms for sensor data, deploy them on cloud platforms, and develop user-friendly web applications. Responsibilities include algorithm development, deployment, and utilizing technologies like Docker and Kubernetes.

AI/ML Engineers at INflow Federal will leverage machine learning and analytical techniques to create scalable solutions for the Department of Defense. Responsibilities include model development, real-time implementations, collaboration with data engineers, and developing production-level code in languages such as Python, R, Java, and C++. The role emphasizes innovation, collaboration, and the development of data-driven solutions for military applications.