• Bachelor’s degree in computer science, engineering, mathematics or equivalent
• Several years of non-internship professional software development experience
• Several years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience coding in Python, R, Matlab, Java or other modern programming language
• Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models
• Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow

Desirable

• The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities
• This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI
• As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers
• You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies
• We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems
• AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector
• The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success
• AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services
• Collaborate with ML scientist and engineers to Research, design and develop cutting-edge generative AI algorithms to address real-world challenges
• Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
• Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI
• Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to Product and Engineering teams to help define product direction