Are you excited to help the global public sector customers to leverage data in developing Machine Learning (ML) and Deep Learning (DL) models and adopting Artificial Intelligence (AI)? Eager to learn from many different enterprise use cases of AWS ML and DL? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come join us!
At Amazon Web Services (AWS), we are helping the global public sector organizations build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems.
ML and DL are rapidly growing in importance. We’re seeing more and more amazing work being done from smart city automation and mobile apps to financial trading and shipping logistics. Given the scale required for developing models, the cloud is an ideal place to deploy these models, and Customers across all industries are choosing Amazon Web Services (AWS) to deploy their models. We’re looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses.
As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing machine learning solutions that leverage AWS services to automate solutions and drive down costs for customers. As part of the Specialist Solutions Architecture team, you will work closely with the other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for ML/AI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage ML/AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS ML solutions into customer architectures.
You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is required, in addition to experience building complex classification models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.
Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team.