Deep Learning Architect Full-time Job

1 week ago   Others   Dubai   23 views Reference: 37602
Job Details

Key job responsibilities

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 productionization 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

Company Description
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.