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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
RBS Tech is developing an automated solution Sherlock and ACE to find and fix defects in a scalable fashion. We use 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., Bachelors degree in Computer Science, Software Engineering or a related technical discipline 1+ years full-time experience in software design and development. Proficiency with at least one Object Oriented language (e.g. Java, Python). Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. 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 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 junior 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 :
customer experiencealgorithm designdata structuresproblem solvingcomputer scienceproject deliverysoftware designmachine learningrobust engineeringdeep learning