Deep Learning Architect, Generative AI Innovation Center

2 settimane fa


Milano, Lombardia, Italia AWS EMEA SARL (Italy Branch) - G99 A tempo pieno
About the Role:

As a Deep Learning Architect at AWS, you will play a key part in shaping the future of Generative AI. Our innovative team is working to accelerate the use of Generative AI and drive transformational business opportunities. You will partner with technology and business teams to build bespoke solutions that harness the power of Generative AI.

The ideal candidate will have experience in design, implementation, or consulting in applications and infrastructures. A bachelor's degree in computer science, engineering, mathematics, or equivalent, is required. Additionally, experience in architecting or deploying Cloud/Virtualization solutions in enterprise customers is essential. Strong communication skills across technical audiences are also necessary.

Key Responsibilities:

- Collaborate with ML scientists and engineers to research, design, and develop cutting-edge Generative AI algorithms to address real-world challenges.
- Work across customer engagement to understand what adoption patterns for Generative AI are working and rapidly share them across teams and leadership.
- Interact with customers directly to understand their business problems, help, and aid them in the implementation of Generative AI solutions, deliver briefing and deep-dive sessions to customers, and guide them on adoption patterns and paths for Generative AI.
- Create and deliver reusable technical assets that help to accelerate the adoption of Generative AI on the AWS platform.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.

About the Team:

The Generative AI Innovation Center at AWS provides an excellent opportunity to work with a diverse team of experts in AI/ML and Generative AI techniques. Our team is dedicated to helping customers imagine new applications of Generative AI, identify new use cases based on business value, and integrate Generative AI into their existing applications and workflows.

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