Data Science Leader for Generative AI Innovation

2 settimane fa

Milano, Lombardia, Italia Amazon A tempo pieno
{"_section1_": "

Job Title: Senior Data Scientist, Generative AI Innovation Center

About the Job:

Amazon is seeking a highly skilled Senior Data Scientist to join our Generative AI Innovation Center. As a key member of this team, you will work closely with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.

Responsibilities:

  1. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
  2. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production.
  3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
  4. Provide customer and market feedback to Product and Engineering teams to help define product direction.

About the Team:

The Generative AI Innovation Center team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The team provides guidance on best practices for applying generative AI responsibly and cost-efficiently.

Qualifications:

  • Master’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
  • Relevant experience in building large-scale machine learning or deep learning models.
  • Experience communicating across technical and non-technical audiences.
  • Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
  • Fluency in written and spoken English.

Preferred Qualifications:

  • Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
  • PhD degree in Computer Science, or related technical, math, or scientific field.
  • 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.
  • High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications.

Amazon is an Equal Opportunities Employer.

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