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DESCRIPTION
The Human-in-loop services team builds AWS services and applications that enable the use of human intelligence in Machine Learning. Common use cases include video labeling, 3d point cloud object detection and natural language processing. Successful machine learning models are built on high-quality training data. But the process to create the training data is often expensive, complicated, and time-consuming. Products such as SageMaker Ground Truth and Augmented AI solve the problem using smart crowd-sourcing and Machine Learning technologies thus improving the quality of the training data while reducing the cost.
In this role you will work closely with stakeholders, other engineering managers and product teams to deliver mission-critical, and complex products and features. You will be a critical engineering leader who will lead the architecture and design process, assess risks and effectively mentor team members to improve their skills and raise the bar on software development best practices. You will own the implementation strategy to radically change our product offering in ways that is the least disruptive to our customers yet delivers significantly value iteratively.
BASIC QUALIFICATIONS