Sr. SDE, SageMaker AI
Amazon
DESCRIPTION
Are you a highly skilled and innovative Software Development Engineer with a passion for developing new machine learning capabilities and driving innovation to build customer-centric solutions in Amazon SageMaker AI? Are you interested to play a key role in developing software applications at AWS? We invite you to join us and be part of making history.
The Amazon SageMaker Pipelines team is seeking highly skilled and innovative Software Development Engineer to join our organization. SageMaker Pipelines provides a serverless workflow orchestration capability purpose-built for MLOps/LLMOps automation. This capability enables our customers to easily build, execute, and monitor repeatable end-to-end machine learning workflows through an intuitive API, drag-and-drop UI, and the Python SDK. In this role, you will be responsible for building and maintaining capabilities within our best-in-class machine learning offering, as well as scaling those systems to support our customers' workflow orchestration automation needs.
Engineers on the Amazon SageMaker Pipelines team are expected to consistently experiment with new technologies and ideas in order to drive innovation and ensure SageMaker remains a best-in-class service. You will be held to the highest standards of engineering and operational excellence, including building highly resilient and scalable systems, producing clear and effective technical documentation, actively contributing to discussions on strategic direction, and continuously raising the bar. Most importantly, you will have the opportunity to collaborate with a team of highly skilled and dedicated engineers who share a commitment to achieving new levels of success.
About Amazon SageMaker AI
Amazon SageMaker AI is a fully managed machine learning service that simplifies the process of building, training, and deploying machine learning models. It abstracts away the undifferentiated heavy-lifting associated with large-scale machine learning implementations, allowing developers and data scientists to focus on the core modeling and problem-solving aspects of their work. SageMaker is currently utilized by businesses of all sizes, including some of the world's leading enterprises, across a growing number of geographic regions.