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Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to pl...
Description
Artificial Intelligence (AI) and machine learning (ML) is rapidly growing in importance. We’re seeing more and more amazing AI/ML work being done from home automation and mobile apps to financial trading and shipping logistics. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and AWS is the leader in the deployment of AI and usage of associated services such as AWS Machine Learning. We’re looking for someone passionate and deeply excited about this opportunity. Someone who is devoted to helping customers understand how AI and ML can make a big difference to their businesses. We need that rare technologist that is as comfortable consulting with customers, can develop demo’s and prototypes to prove the technology for their use case, and is as comfortable working with an engineering team to join our AWS Professional services team.
AWS is expanding its focus on making AI more accessible to developers. One of the ways we’re doing that today is through our machine learning services. In our view, machine learning should be made easy for developers of all skill levels without having to learn complex algorithms and technology.
You will be responsible for helping customers understand the value proposition of AWS Services related to AI/ML, creating the most compelling content to help customers understand the use cases and value propositions, and building the right programs to increase awareness and adoption. You will be an AI/ML evangelist to customers and also internally, helping to develop the AI knowledge and skills. You will get to work on a growing business and have a big impact for our customers.
Roles & Responsibilities
The candidate will possess both technical and customer-facing skills that will allow them to be a "trusted advisor" to customers. He or she will be able to facilitate relationships with senior personnel, as well as easily interact and give guidance to technical experts, software developers, IT pros, and system architects. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges.
Basic Qualifications
Very strong understanding and experience in the field of AI and ML related technologies. Deep experience developing AI models in real-world environments.
Preferred Qualifications
Advanced Degree in related technology
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