Opportunity Description
Description
Would you like full-stack ownership of SageMaker's front door? Are you interested in democratizing AI / ML and enabling customers to develop and distribute models of their own?
Amazon SageMaker is a suite of AWS services which enable customers to build, train, and deploy Artificial Intelligence (AI) and Machine Learning (ML) models with fully managed infrastructure, tools, and workflows. Our team owns several important parts of SageMaker:
1. SageMaker JumpStart, a collection of ~700 pre-trained and validated models and algorithms which customers can simply grab off a shelf and use. Customer facing UIs in SageMaker Studio and AWS Console, Python and JavaScript SDKs, and Services make discovery and usage of these models easy. SageMaker can be overwhelming for a new user, so you can think of JumpStart as the landing page and introduction to SageMaker, where we provide sensible defaults and examples to enable customers to get started in a few minutes with only a ...
Would you like full-stack ownership of SageMaker's front door? Are you interested in democratizing AI / ML and enabling customers to develop and distribute models of their own?
Amazon SageMaker is a suite of AWS services which enable customers to build, train, and deploy Artificial Intelligence (AI) and Machine Learning (ML) models with fully managed infrastructure, tools, and workflows. Our team owns several important parts of SageMaker:
1. SageMaker JumpStart, a collection of ~700 pre-trained and validated models and algorithms which customers can simply grab off a shelf and use. Customer facing UIs in SageMaker Studio and AWS Console, Python and JavaScript SDKs, and Services make discovery and usage of these models easy. SageMaker can be overwhelming for a new user, so you can think of JumpStart as the landing page and introduction to SageMaker, where we provide sensible defaults and examples to enable customers to get started in a few minutes with only a ...
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