Machine Learning Engineer, Insights, Data Engineering, ...

OverviewAmazon 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 to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential.About AWS Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (cloud computing). AWS offers compute power, storage, and other services, enabling access to elastic IT infrastructure as business needs grow. AWS is a leading platform for designing and developing cloud applications and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.About You You 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 or distributed modeling systems to unlock new ML capabilities for your customers. You have a strong grasp of popular ML 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.What You Will DoWork with a team of business analysts, data scientists, and engineers to bring ML and statistics solutions to our Sales teamsDevelop and deploy models and pipelines that scaleUse AWS services like SageMaker, EMR, ECS, Glue, and more to build and deploy scalable machine learning models in the cloudExample ProjectsScaling out and deploying regression, classification, and recommendation modelsDeveloping reusable cloud infrastructure and deployment patterns to accelerate productionalizationIntegrating disparate ML solutions into cohesive customer experiencesAbout The TeamAbout AWS Diverse Experiences AWS 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 world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating"”that's why customers from startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers 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 & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should not come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.About Sales, Marketing And Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Basic Qualifications3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languagePreferred Qualifications3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentAmazon 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career panyAmazon Web Services, Inc.Job ID: A2997338 #J-18808-Ljbffr

Created: 2025-10-02