Software Dev Engineer II, Sales Insights and Data...
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Role details
Tech stack
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Job description
Amazon is seeking an experienced, self-directed machine learning data engineer to support the research and analytical needs of Amazon Web Servicesā 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 customersā journey to the cloud. This is a high-visibility role with significant impact potential.
Requirements
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., 3+ years of non-internship professional software development experience
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2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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Experience programming with at least one software programming language
Preferred Qualifications
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3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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Bachelorās degree in computer science or equivalent
Benefits & conditions
Amazon Web Services (AWS) is the worldās most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - thatās 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 work-life harmony. Achieving success at work should never 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, thereās nothing we canāt achieve in the cloud.
Inclusive Team Culture
Here at AWS, itās in our nature to learn and be curious. Our employee-led 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
Weāre continuously raising our performance bar as we strive to become Earthās Best Employer. Thatās why youāll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional., 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 (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
About the company
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (ācloud computingā). With AWS you can requisition compute power, storage, and many other services - gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.
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