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Deep Learning QA Engineer ( Pytorch _ QA )

6.00 to 12.00 Years   Bangalore   19 Jun, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Description

  • Strong programming skills, C/C++ in Linux environment
  • Machine Learning / Deep Learning / Image Classification / Recommendation Systems / NLP
  • TensorFlow/PyTorch/MxNet/Keras Training/Inference
  • Graph Compiler, Optimizations
  • Python or any other scripting language hands on experience
  • Python Test Framework (PyTest) / Google Test Framework (GTEST)
  • Continuous Integration knowledge (CD/CI Jenkins/Gerrit/Scripts)
  • The candidate should be able to understand complex software designs, algorithms, and should be able to design the test cases to test different scenarios.
  • This includes the functional, performance and stress tests.
  • The candidate will be expected to write verification test plans, and write tests to execute those plans.
  • Candidates will need to debug failing tests, then work with component owners to resolve bugs.
  • Successful software engineer can anticipate failure modes, and write punishing test content to stress the design and identify bugs. Candidate will analyze coverage gaps and devise strategies to fill coverage holes.

Qualifications:

  • Education: B.Tech/M.Tech ECE or CS from reputed institute Experience: 6-12 years of relevant experience
  • Behavioral traits: Problem-solving Skills Ability to Multitask Strong Written and Verbal Communication Skills Ability to Work in a Dynamic Team-Oriented environment
  • Proficiency in C, C++, Standard Template Library (STL) and python, PyTest/GTest, TensorFlow/PyTorch/MxNet/Keras
  • Software test specifications, Development of Test Cases, Experience in Developing and validating Device drivers , Experience of working on Complex SOC s SW Stack, Ability to understand Hardware Features from data sheets.
  • Knowledge of Machine Learning algorithms, Deep Learning algorithms, Agile development process, Continuous Integration, Jenkins etc.
,

Keyskills :
test casesregression testinginspectionqualityautomationdeep learningfailure modesdevice driversproblem solvingmachine learningagile developmentposition managementcommunication skillsverbal communicationcontinuous integrationsocnlplinu

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