About the job
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 to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential.
Responsibilities
Productionalize and scale innovative, high-performance machine learning (ML) and statistics solutions that solve business problems at massive scale; Carry projects from proof-of-concept to deployment and prediction serving with a high standard for model maintenance and operations; Turn large volumes of structured and unstructured data into training and prediction sets; Orchestrate complex and/or distributed modeling systems to unlock new ML capabilities for your customers; Develop maintainable, reusable components and microservices as part of your pipelines that unlock speed, scale, and integration for others; Communicate technical concepts clearly to stakeholders in concise, non-technical language
Qualifications
Minimum
3+ years of non-internship professional software development experience; 2+ years of non-intternship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language
Preferred
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience; Bachelor's degree in computer science or equivalent