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Amazon is seeking an experienced ML data engineer to support research and analytics for AWS Sales teams. You will productionalize scalable ML solutions, move projects from PoC to deployment, and transform big data into training and prediction sets to accelerate the cloud journey for customers.
You will design distributed modeling systems, build reusable components and microservices, and communicate complex concepts clearly to stakeholders across teams.
Job ID: 10457762 | Amazon.com Services LLC
Amazon is seeking an experienced, self-directed machine learning data engineer to support the research and analytical needs of Amazon Web Services' Sales teams. This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and accelerate our customers' journey to the cloud.
You, as the right candidate, are adept at productionalizing and scaling innovative, high-performance machine learning (ML) and statistics solutions that solve business problems at massive scale. You have carried projects from proof-of-concept to deployment and prediction serving with a high standard for model maintenance and operations. You have turned large volumes of structured and unstructured data into training and prediction sets. You have orchestrated complex and/or distributed modeling systems to unlock new ML capabilities for your customers. You have a strong grasp of popular machine learning and data processing frameworks. You have developed maintainable, reusable components and microservices as part of your pipelines that unlock speed, scale, and integration for others. You are talented at communicating technical concepts clearly to stakeholders in concise, non-technical language.
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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually