Machine Learning Engineer, Data Platform Engineering, WWPS U.S Federal ProServe
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About The Position
As a Machine Learning Engineer within the Data Platform Engineering team at Amazon Web Services (AWS), you will play a pivotal role in helping the US Intelligence Community leverage their data to enable Machine Learning (ML) in mission workflows. This position is designed for individuals who are passionate about data architectures that support Machine Learning Operations (MLOps) and possess the consultative and leadership skills necessary to guide projects toward success. The AWS US Federal Professional Services team collaborates directly with US Intelligence community agencies and other public sector entities to help them achieve their mission goals through the adoption of ML methods. Your work will involve building data platforms that optimize various types of data for ML model training, scaling inference, automating model improvement, and organizing insights for analytics and reporting. In this customer-facing role, you will be responsible for architecting and implementing innovative AWS cloud-native ML solutions that align with customer business outcomes. You will lead efforts to inspect, investigate, and understand customer data sources, design and run experiments, and research new algorithms. Collaboration with talented data scientists and engineers will be essential as you create data flows to and from models and build data platforms that integrate ML into diverse missions. This position requires local travel of up to 25%, and you are expected to work from one of the specified locations or customer sites at least one day a week, as this is not a remote position. Additionally, candidates must possess and maintain an active TS/SCI Security Clearance with Polygraph, and opt into a commensurate clearance for each government agency for which they perform AWS work.
