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 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, developing, and deploying cutting-edge generative AI solutions for our customers.

Key Responsibilities
  • Collaborate with our team of ML scientists and engineers to research, design, and develop innovative generative AI algorithms that address real-world challenges.
  • Work closely with customers to understand their business needs and provide guidance on the adoption of generative AI solutions.
  • Develop and deliver reusable technical assets that accelerate the adoption of generative AI on the AWS platform.
  • Provide customer and market feedback to our 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 collaborative work environment with a team of experts in AI and ML.
  • Opportunities for professional growth and development in a rapidly evolving field.
  • A comprehensive benefits package, including health insurance, retirement savings, and paid time off.
  • A competitive salary and bonus structure.
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.
  • Knowledge of deep learning and experience hosting and deploying ML solutions.
Preferred Qualifications
  • 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.


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