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Amazon seeks a software engineer to join the Buyer Risk Prevention team in Bengaluru. You will work on architecture and development of scalable systems that detect abusive patterns in massive transaction streams, applying ML and data analytics to protect customers and policies.
The role requires 3+ years of professional software development experience, strong design/architecture skills, and proficiency in at least one programming language. Bachelor's degree in CS or equivalent preferred.
Want to join a team that saves tens of millions of dollars per year for Amazon, and uses technology, including machine learning and statistical modeling techniques, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity within the Abuse Prevention team to architect and build the next generation of engineering systems to address abuse of Amazon's customer-first policies that will impact multiple Amazon businesses across the globe.
The BRP (Buyer Risk Prevention) team has a worldwide reputation as the #1 in eCommerce Fraud and Abuse Prevention. Trust and Safety of our customers comes first. Always! We thrive on maintaining the highest bar of customer experience while we deliver on those tenets. The Buyer Abuse Engineering Team, a group within BRP, strives to protect Amazon businesses exposed to customer abuse while maintaining the highest level of customer experience for our good customers. This means building highly sophisticated, data-centric systems that can detect abusive patterns across millions of transactions. We build highly scalable, flexible and distributed systems that utilize the power of data at every step - compute predictive variables, build models using machine learning algorithms and plug into different pipelines to prevent abusive transactions from taking place. As Amazon businesses grow and abusers morph to find new ways to take undue advantage of our liberal policies, our engineers and data scientists are constantly innovating to stay ahead of the game and protect Amazon and our customers.
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