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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Web / Mobile Technologies |
| EmploymentType | Full-time |
RBS Tech is developing an automated solution Sherlock to Walk the Store (WTS) in a scalable fashion. Sherlock uses Deep Learning algorithms to search across Amazon s selection, looking for products that might have errors and that may disrupt customers shopping experiences. The suspect items are reviewed for validation and fixed, in the process helping the machine to learn to predict such defects with higher precision. Sherlock platform is a highly scalable platform to ingest various product signals, process the ASIN and run defect audits on those rules. The team also owns a self-service rules engine and enumeration service, which is used by our business teams to create the defect identification rules. In 2020, Sherlock team audited over 1.1 Billion ASINs over 12 months.As a SDE with Sherlock team, you will work with talented peers of SDEs and Applied scientists to build robust engineering platforms to solve high impact issues. Your work will directly impact our customer experience, save millions in concessions. You will constantly stretch the boundaries of innovation to tackle the business challenges. If you are customer obsessed, self-driven, tenacious and analytical individual with a basic understanding of machine learning, you will have fun solving our business problems of unprecedented scale., 4+ years of professional software development experience 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems A strong track record of project delivery for large, cross-functional projects Experience building complex software systems that have been successfully delivered to customers Experience with building high-performance, highly-available and scalable distributed systems. A willingness to dive deep, experiment rapidly and get things done A bachelors or MS in Computer Science or equivalent industry experience Deep knowledge of Distributed SOA Architecture, Relational DB knowledge, ElasticSearch, DynamoDB, and various AWS technologies. Exposure to Machine Learning/deep learning projects. Experience of successfully mentoring SDEs. High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one s sleeves to get the job done.
Keyskills :
basicawssoftwarerobust engineeringdesign patternssearchhistorycomputer sciencesciencesoftware developmentdeep learningdefect identificationdesigncustomer experienceproject deliverysoajava