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ML QA Engineer

3.00 to 8.00 Years   Pune   28 Oct, 2020
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryArchitecture / Interior Design
Functional AreaGeneral / Other Software,Sales / BD
EmploymentTypeFull-time

Job Description

Responsibilities:

  • Design, develop and review test automation tools, frameworks for distributed systems and machine learning models.
  • Understanding of machine learning techniques, data structures, algorithms, statistics.
  • Proficiency of python language, working knowledge of pytest is a plus.
  • Drive improvements in the existing automation framework to improve quality and maintainability.
  • Strong experience setting up automated test systems using Jenkin to build various full stack testing suites.
  • Work closely with Project Architects to make sure that the functional, non-functional requirements are properly addressed and traced in the solution architecture
  • Develop and maintain domain, product and process knowledge to directly influence the product quality, software engineering productivity and development process maturity
  • Provide technical leadership and direction to testing team members to adherence to coding, quality, functionality, performance, scalability and on-time delivery standards.
  • Define, improve and automate metrics collection and reporting
  • Drive test effectiveness and efficiencies throughout the team
  • Drive research of industry trends and apply best practices in quality engineering practices used in evolving machine learning techniques.
  • Provide consulting services on techniques to achieve of quality goals through education, training, coaching and collaboration
  • Keep current on new technologies and make recommendations on future direction for quality engineering as well as apply latest techniques and industry information as appropriate.
Qualifications
  • Bachelors in Computer Science/ Engineering; Masters is desirable.
  • 5 years of experience in distributed application testing
  • Exposure of Machine Learning algorithms
  • Expertise in developing the automation suites, frameworks for verification of distributed systems and machine learning models
  • Demonstrated experience designing scalable and maintainable automated testing solutions for large scale systems
  • Working knowledge of load generation/load balances / Controllers / performance measurement software
  • Demonstrated ability to learn and apply new technology, tools and process
  • Excellent English written and verbal communication skills
  • Demonstrated collaborative and mentoring skills
  • Experience of working in an agile environment
,

Keyskills :
test casesregression testinginspectionqualityautomationlarge scale systemstest automation toolsdrive testtest systemsdata structuresproduct qualitytest automationcomputer sciencemachine learningautomation toolsprocess maturityagile environ

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