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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Build automated test suites using opensource tools and build custom testing tools using python as required. Design and implement automated tests and test plans covering functional, performance, scalability and load/ stability testing. Work with latest technologies like Docker, AWS, among many others. Work with independence and ownership of tasks. What we are looking for : Excellent programming scripting skills in Python, Shell or another common language. Good understanding of system concepts of virtualization, networking and storage. Expert/ hands- on working experience on Linux Platforms Proficient in designing test plans, test cases and systems ideally for IoT products. Past experience in designing infrastructure for scalability and performance testing. Solid experience (minimum 3 years) in end2end system software testing. Result oriented approach to work and good communication skills. Help translate business requirements into concretely framed technical problems. Survey literature for industrial monitoring and analytics and marry ideas therein with modern ML techniques. Build and integrate ML modules to scalable, high performance and fault- tolerant distributed systems. Help build scalable training/ test/ deployment infrastructure for the above ML modules. Innovate, contribute ideas to make changes happen. Operate, drive results and set priorities independently with limited supervision and direction. Participate as a proactive contributor and subject matter expert. Work with a high caliber team. Masters/ Bachelors Degree in Computer Science and Engineering or equivalent experience. Experience in using Python and prominent ML libraries in Python (e.g. sklearn). Experience in using various state- of- the- art ML tools like Apache Spark, Google Tensorflow, Theano etc. Experience in building/ using ML models with confidence controls: For example, you should be able to build non- linear regression models that yield not only point estimates, but also sensible prediction intervals. Working knowledge of time- series analysis and forecasting. Working knowledge of on- line ML and stream processing. Strong background in data structures and algorithms. Implement solutions with maintainable, high ,,
Keyskills :
jenkins linux automation git maven estsuites testingtools apachespark driveresults datastructures computerscience regressionmodels linearregression opensource testcases systemsoftware