Lavori attuali relativi a Deep Learning Architect, Generative AI Innovation Center - Roma, Lazio - AWS EMEA SARL (Italy Branch) - G99


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Deep Learning Architect, Generative AI Innovation Center

2 mesi 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 solutions for our customers.

Key Responsibilities
  1. Collaborate with our team of ML scientists and engineers to research and develop innovative generative AI algorithms that address real-world challenges.
  2. Work closely with customers to understand their business needs and provide guidance on the adoption of generative AI solutions.
  3. Design and develop reusable technical assets that accelerate the adoption of generative AI on the AWS platform.
  4. Develop and deliver best practice recommendations, tutorials, and presentations to technical and business stakeholders.
  5. Provide feedback to our Product and Engineering teams to inform product direction.
About the Team

Our Generative AI Innovation Center is a collaborative program that pairs you with AWS science and strategy experts to:

  1. Imagine new applications of generative AI to address customer needs.
  2. Identify new use cases based on business value.
  3. Integrate generative AI into existing applications and workflows.
What We Offer

As a Deep Learning Architect at AWS, you will have the opportunity to work on game-changing projects, collaborate with a talented team, and develop your skills in a fast-paced and innovative environment.

Requirements
  • 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.
  • Experience communicating across technical audiences.
  • Knowledge of deep learning and experience hosting and deploying ML solutions.
  • Knowledge of Generative AI and hands-on experience building applications with large foundation models.
  • Knowledge of AWS platform and tools.
  • Hands-on experience building ML solutions on AWS.
  • Experience in professional software development.
  • Scientific thinking and the ability to invent, thought leadership, and contributions in the field.