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Mid-level, popular QA automation title in Bangalore attracts many qualified applicants.
QA automation skills transfer broadly while AI/data pipeline experience increases domain bias.
Explicit 5+ years plus required automation, API, Python and CI/CD skills enforce strict shortlisting.
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Develop and maintain automated test frameworks specifically for AI, data pipelines, and application workflows ensuring end-to-end validation.
Validate AI outputs including model accuracy, consistency, and detect regressions or anomalies within enterprise-scale data systems.
Collaborate closely with engineering to improve product testability, define quality metrics, and proactively monitor system health to mitigate quality risks.
Bachelor’s degree in Computer Science, Engineering, or related field.
5+ years of experience in QA, automation, or software testing roles, including testing data-intensive or enterprise-scale applications.
Strong experience in test automation, API testing, backend validation, and proficiency in Python scripting/programming.
Familiarity with CI/CD pipelines and integration of automated testing frameworks.
Experienced in quality engineering for AI, ML, or analytics platforms with an operational focus on AI workflow validation and data pipeline robustness.
Able to drive quality improvements through collaboration with development teams and establish quality metrics and monitoring.
Strategic and hands-on with a builder’s mentality comfortable working in cutting-edge AI SaaS environments at scale.