Senior Deep Learning Architect, Generative AI Innovation Center

5 giorni fa


Roma, Lazio, Italia Amazon A tempo pieno
Unlock the Power of Generative AI

Join Amazon's Generative AI Innovation Center as a Senior Deep Learning Architect and contribute to the development of cutting-edge generative AI solutions. Collaborate with cross-functional teams to design, develop, and deploy innovative AI-powered applications that drive business value.

About the Role

We're seeking an experienced AI Architect to lead the development of generative AI solutions on the AWS platform. As a Senior Deep Learning Architect, you'll work closely with customers, engineers, and scientists to understand their needs and develop tailored solutions that harness the power of generative AI.

Key Responsibilities
  • Design and develop cutting-edge generative AI algorithms to address real-world challenges
  • Collaborate with customers to understand their business needs and develop customized AI solutions
  • Work with engineers and scientists to develop and deploy AI-powered applications on the AWS platform
  • Develop and maintain reusable technical assets to accelerate the adoption of generative AI on AWS
  • Provide customer and market feedback to inform product direction and strategy
About the Team

The Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts to imagine new applications of generative AI, identify new use cases, and integrate generative AI into existing applications and workflows.

What We Offer

At Amazon, we value diversity, equity, and inclusion. We're committed to creating a workplace where everyone can thrive. As a Senior Deep Learning Architect, you'll have access to ongoing training, mentorship, and career growth opportunities to help you develop into a better-rounded professional.

Requirements

We're looking for experienced AI Architects with a strong background in deep learning and experience hosting and deploying ML solutions on the AWS platform. Proven knowledge of generative AI and hands-on experience building applications with large foundation models is a plus.



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