Data Science QA Engineer at StreamMosaic at StreamMosaic in San Jose, California | AnalyticTalent.com

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StreamMosaic is a VC-funded startup in San Jose. We’re helping large semiconductor and electronics manufacturers achieve higher yields and tighter process control by implementing ML in their production pipelines. We’re seeking a QA Engineer with Data Science/Statistics  background to help drive quality of an enterprise-grade, production-ready, advanced AI platform for the semiconductor and electronics manufacturing industries. We look for people who are self-motivated and passionate about the transformative potential of AI.

RESPONSIBILITIES

  • Design and implement unit and integrations tests covering machine learning models with variety of data sets
  • Create statistical robustness tests for trained models
  • Create simulated dataset replicating real-world scenarios
  • Debug and define corrective action
  • Create detailed, comprehensive and well-structured test suites using programming languages such as Python or Java
  • Track quality assurance metrics
  • Create UI test automation suites for web based applications

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