Senior Deep Learning Architect, Generative AI Innovation Center

4 settimane fa


Milano, Lombardia, Italia Amazon A tempo pieno
Unlock the Power of Generative AI

As a Senior Deep Learning Architect, you will be part of a cross-functional team at Amazon's Generative AI Innovation Center, working closely with customers to build bespoke solutions that harness the power of generative AI.

Our team helps AWS customers accelerate the use of generative AI and realize transformational business opportunities. We're looking for experienced engineers and architects who can design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key Responsibilities
  1. Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
  2. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
  3. 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.
  4. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on the AWS platform.
  5. 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:

  1. Imagine new applications of generative AI to address your needs.
  2. Identify new use cases based on business value.
  3. Integrate Generative AI into your existing applications and workflows.
Requirements
  1. Several years of experience in design, implementation, or consulting in applications and infrastructures.
  2. Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military.
  3. Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
  4. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
  5. Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences).
Preferred Qualifications
  1. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models.
  2. Proven knowledge of AWS platform and tools.
  3. Hands-on experience of building ML solutions on AWS.
  4. Experience in professional software development.
  5. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.



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