Amazon Sr Applied AI - Data Scientist Amazon Nova 

United States, Washington, Bellevue 

468915573

In this role, you will be the voice of the builder, with ownership for working alongside Amazon businesses to develop GenAI solutions that deliver their immediate business value and realize the future of customer experience. You will help your customers understand best practices and develop new best-practice patterns as you encounter new problem spaces. With your day to day focus on the builder, you will be expected to provide insights to product, science, and engineering on how customers build with our FM's and how we can improve. You will be empowered to invent on behalf of our customers and advocate for their needs throughout design, build, and launch of next gen FM's.This position has a high level of visibility, so you will need to be able to communicate clearly and compellingly at all levels of the company. Additionally, you will be responsible for measuring business impact by diving deep into metrics and customer inputs. You should have a positive attitude and strong work ethic; you will work fast and smart, and adapt and iterate quickly.Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.- Drive evaluation strategy, metric design, and evaluation data design for real-world use cases

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.
- 5+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- 3+ year experience working with technologies related to large language models including LLM architectures and model evaluation
- Experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
- Experienced in specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.