Overview
Amazon launched the Generative AI Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization. The GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you will partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customers\' business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems.
The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAIIC team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
Responsibilities
* The successful candidate will possess both technical and customer-facing skills that enable you to be the technical "+face" of AWS within our solution providers\' ecosystem/environment as well as directly to end customers. You will drive discussions with senior technical and management personnel within customers and partners, and provide the technical background that enables them to interact with and guide data/research/applied scientists and software developers.
* Strategic thinking about business, product, and technical issues, and excellence as a technical team manager—someone who knows how to hire, develop, and retain high-quality technical talent.
* Collaborate with AWS Sales, Marketing, and Global Services (SMGS) to drive revenue, adoption, and growth across a range of accounts from small/medium to enterprise level, including public sector.
* Engage with the AWS Global Support program and partners to ensure world-class support for customers building mission-critical applications on AWS services.
Qualifications
* BASIC QUALIFICATIONS
- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Knowledge of Python or R or other scripting language
- Experience in building quantitative solutions as a scientist or science manager
- Experience directly managing scientists or machine learning engineers
- Experience in applying statistical models for large-scale application and building automated analytical systems
* PREFERRED QUALIFICATIONS
- Experience in at least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems
- Bachelor\'s degree in Computer Science or equivalent
About the Team & Culture
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\'re applying in isn’t listed, please contact your Recruiting Partner.
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