Senior Deep Learning Architect

3 settimane fa


Milano, Lombardia, Italia AWS EMEA SARL (Italy Branch) - G99 A tempo pieno
About the Role

We are seeking a highly skilled Senior Deep Learning Architect to join our Generative AI Innovation Center at AWS EMEA SARL (Italy Branch) - G99. As a key member of our team, you will play a critical role in helping our customers accelerate the use of Generative AI and realize transformational business opportunities.

Key Responsibilities
  • Collaborate with ML scientists 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 the implementation of Generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths for Generative AI.
  • Create and deliver reusable technical assets that help to accelerate the adoption of Generative AI on the AWS platform.
  • Provide customer and market feedback to Product and Engineering teams to help define product direction.
About the Team

The Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and Generative AI techniques to:

  • Imagine new applications of Generative AI to address your needs.
  • Identify new use cases based on business value.
  • Integrate Generative AI into your existing applications and workflows.
What We Offer

At AWS, we value diverse experiences and encourage candidates from all backgrounds to apply. We offer a dynamic and inclusive work environment, with opportunities for growth and development. Our team is passionate about innovation and customer success, and we are committed to making a positive impact in the world.

Requirements
  • Several years of experience in design, implementation, or consulting in applications and infrastructures.
  • Bachelor's degree in computer science, engineering, mathematics, or equivalent, or experience in a professional field or military.
  • Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
  • Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients.
  • Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences).


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