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PwC brand, Gurgaon metro, mid-level generalist automation role with broad ML testing skills increases competition.
Automation QA skills transfer across industries, but ML-pipeline testing increases domain-specific bias.
Mandatory 5+ years plus specific Python, Selenium, SQL/NoSQL and Jenkins automation requirements raise strictness.
Design and implement test automation frameworks using Python and NoSQL for machine learning pipelines.
Develop and execute test strategies including manual and automation testing focused on data quality and ML application testing.
Collaborate with data engineers, data scientists, and business analysts in an Agile environment to ensure solution testability and quality metrics for ML pipelines.
5+ years of experience in testing web applications using Selenium and Python programming with object-oriented coding.
Experience with test automation including regression and integration testing, integrating test suites with Jenkins.
Proficiency in SQL/NoSQL databases (MongoDB preferred), API testing (Postman and Python), and test/project management tools like JIRA.
Degree requirement: Master of Business Administration; Certifications in Data Science/Machine Learning preferred.
Experienced QA engineer with strong background in AI/ML application testing and automation frameworks.
Comfortable working in Agile/Scrum or SAFe product teams and collaborating across technical and business roles.
Technical skills in Python automation, SQL/NoSQL querying, API testing, and use of CI/CD tools like Jenkins to integrate tests.