This is a 100% Onsite position and 5 days a week. Selected candidate must be willing to work on-site in Woodlawn, MD. The position involves ensuring that ML models can be effectively developed, deployed, managed, and monitored in production environments. Responsibilities include productionizing ML models by integrating trained ML models with production systems, building and managing ML pipelines, and setting up infrastructure for ML workloads utilizing cloud platforms and containerization technologies. The role also requires implementing monitoring systems to track the performance of ML models in production, automating various tasks within the ML workflow, and identifying ways to optimize the performance, efficiency, and scalability of ML models and their supporting infrastructure.