Senior Deep Learning Architect, Generative AI Innovation Center

5 giorni 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 adoption patterns and paths for generative AI.
  • Create and deliver reusable technical assets to accelerate the adoption of generative AI on the AWS platform.
  • Develop and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations to technical, business, and executive stakeholders.
  • 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.

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.
  • A 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, or experience in a professional field or military.
  • 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 of building applications with large foundation models.
  • Proven knowledge of AWS platform and tools.
  • Hands-on experience of building ML solutions on AWS.
  • Experience in professional software development.
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.

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