Data Scientist

hace 1 semana

Ciudad de México, Ciudad de México Amazon A tiempo completo
Transformative Generative AI Solutions

Are you passionate about harnessing the power of Machine Learning and AI to drive innovation? We're looking for an exceptional Data Scientist to join our Generative AI Innovation Center at Amazon, where you'll collaborate with customers and internal stakeholders to design, develop, and implement cutting-edge generative AI solutions. As a member of our team, you'll have the opportunity to work on game-changing projects, leveraging your expertise in deep learning frameworks like Tensorflow, Keras, and PyTorch.

Your key responsibilities will include:

  • Collaborating with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms.
  • Interacting with customers to understand their business problems and providing guidance on adoption patterns and paths to production.
  • Creating and delivering best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.

About the Team

Our team helps customers imagine and scope the use cases that will create the greatest value for their businesses, selects and trains the right models, defines paths to navigate technical or business challenges, develops proof-of-concepts, and makes plans for launching solutions at scale. We provide guidance on best practices for applying generative AI responsibly and cost-efficiently.

Diverse Experiences

At Amazon, we value diverse experiences and encourage candidates from all backgrounds to apply, even if they don't meet all the preferred qualifications and skills listed in the job description. We believe that career paths can be non-traditional, and we're open to candidates with alternative experiences.

Why Amazon?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power our customers' businesses.

Work/Life Balance

We value work-life harmony and offer flexible work hours and arrangements as part of our culture. When we feel supported in the workplace and at home, we can achieve great things in the cloud.

Inclusive Team Culture

Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. We offer ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, to inspire us to embrace our uniqueness.

Mentorship and Career Growth

We're committed to helping our employees develop into better-rounded professionals through endless knowledge-sharing, mentorship, and other career-advancing resources. We strive to become Earth's Best Employer.

Minimum Qualifications
  • Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field.
  • Relevant experience in building large scale machine learning or deep learning models and solutions.
  • 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 Hebrew and English.
Preferred Qualifications
  • Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models.
  • Proven knowledge of AWS platform and tools.
  • PhD degree in Computer Science, or related technical, math, or scientific field.
  • Hands-on experience of building ML solutions on AWS.

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