Amazon SageMaker is a fully managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for online predictions. SageMaker https://aws.amazon.com/sagemaker/) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand. As a Senior Manager in the AWS Machine Learning team you will own the innovation in Amazon SageMaker. You will be responsible for leading a team of engineers and engineering leaders in accelerating the growth of the distributing training platform - defining the product roadmap, delivering compelling functionality for customers, and operating the service with high availability and reliability. Key Strategic Objectives: · Manage and grow a high-performing development team to design, implement, and operate industry leading AWS services · Sustain
· Bachelor’s Degree in Computer Science or related field. · 8+ years experience building successful production software systems. · 6+ years management experience (including a combination of experience hiring, managing performance, and providing technical leadership). · 3+ years experience in managing managers · The ability to take raw product requirements and develop software architectures and designs to bring them to life. · Experience defining system architectures and exploring technical feasibility trade-offs.· 15 years of experience in the software development industry. · 6+ years of experience