Deep Learning Architect, Generative AI Innovation Center

3 giorni fa


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

We are seeking a highly skilled 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 share best practice recommendations, tutorials, blog posts, sample code, and presentations to support 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

At AWS, we value diverse experiences and encourage candidates from all backgrounds to apply. We offer a collaborative 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
  • 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 audiences.
  • Knowledge of deep learning and experience hosting and deploying ML solutions.


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