Data Scientist, Aws Gen Ai Innovation Center - New York, United States - Amazon Development Center U.S., Inc.

Amazon Development Center U.S., Inc.
Amazon Development Center U.S., Inc.
Verified Company
New York, United States

2 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter
Description
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning

  • Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
  • Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience
Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small

Key job responsibilities
As an Data Scientist, you will

  • Collaborate with AI/ML scientists and architects to Research, design, develop, and evaluate cuttingedge generative AI algorithms to address realworld challenges
  • Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
  • Provide customer and market feedback to Product and Engineering teams to help define product direction
About the team
About AWS

Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer.

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony.

Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud

Arlington, VA, USA | Atlanta, GA, USA | Boston, MA, USA | Houston, TX, USA | Miami, FL, USA | New York, NY, USA | San Diego, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

  • PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
  • Practical experience in solving complex problems in an applied environment
  • Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX
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