Senior Deep Learning Architect, Generative AI Innovation Center

4 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 designing and developing cutting-edge generative AI algorithms to address real-world challenges.

Key Responsibilities
  • Collaborate with ML scientists and engineers to research, design, and develop innovative generative AI solutions.
  • Work closely with customers to understand their business needs and provide guidance on the adoption of generative AI.
  • Create and deliver reusable technical assets to accelerate the adoption of generative AI on the AWS platform.
  • Develop and share best practices, tutorials, and presentations to educate technical and business stakeholders.
  • Provide customer and market feedback 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.

What We Offer
  • A dynamic and inclusive team culture that values diversity and creativity.
  • Endless opportunities for knowledge-sharing, mentorship, and career growth.
  • A flexible work environment that supports work-life harmony.
  • The chance to work on game-changing projects and technologies that transform businesses and industries.
Requirements
  • Several years of experience in design, implementation, or consulting in applications and infrastructures.
  • Bachelor's degree in computer science, engineering, mathematics, or equivalent.
  • Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
  • Proven knowledge of deep learning and experience hosting and deploying ML solutions.
Preferred Qualifications
  • Proven knowledge of Generative AI and hands-on experience building applications with large foundation models.
  • Proven knowledge of the AWS platform and tools.
  • Hands-on experience building ML solutions on AWS.


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