Data Scientist Generative AI Innovation Center

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists data scientists engineers and solution architects working stepbystep with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fastpaced organization that contributes to gamechanging projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

Were looking for ML Data Scientists capable of using GenAI and other techniques to design evangelize and implement stateoftheart solutions for neverbeforesolved problems.



Key job responsibilities
As an ML Data Scientist you will

* Collaborate with ML scientist 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
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train the right models define paths to navigate technical or business challenges develop proofofconcepts and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value worklife 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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled 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 and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.



Masters 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 nontechnical 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

Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
PhD Or Master degree in Computer Science or related technical math or scientific field
Proven knowledge of Generative AI and handson experience of building applications with large foundation models
Proven knowledge of AWS platform and tools
Handson 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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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