AI Innovation Architect, Deep Learning Solutions

7 giorni fa


Milano, Lombardia, Italia Amazon A tempo pieno
About the Role

We are seeking a highly skilled Deep Learning Architect to join our Generative AI Innovation Center at Amazon. As a key member of our team, you will partner with technology and business teams to design, develop, and implement cutting-edge generative AI solutions for our customers.

Key Responsibilities
  1. Collaborate with machine learning scientists and engineers to research, design, and develop innovative generative AI algorithms to address real-world business challenges.
  2. Work closely with customers to understand their needs, aid them in the implementation of generative AI solutions, and deliver briefing and deep dive sessions to customers.
  3. Create and deliver reusable technical assets that accelerate the adoption of generative AI on the AWS platform.
  4. Develop and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
  5. Provide customer and market feedback to Product and Engineering teams to inform product direction.
About the Team

Our 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.

Requirements
  1. Experience in designing, implementing, 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 audiences.
  5. Knowledge of deep learning and experience hosting and deploying ML solutions.
Preferred Qualifications
  1. Knowledge of Generative AI and hands-on experience building applications with large foundation models.
  2. Knowledge of AWS platform and tools.
  3. Hands-on experience building ML solutions on AWS.
  4. Experience in professional software development.
  5. Scientific thinking and the ability to invent, thought leadership, and contributions in 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.



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