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Tier-1 brand, common QA automation title, and Pune metro location create high candidate competition.
Automation skills transfer across industries, but AI model testing and banking controls add domain specificity.
Explicit 7+ years plus mandatory Python, Selenium, SQL and AI-testing tool requirements make filters strict.
Lead design, development, and execution of test strategies for AI/ML and Generative AI applications, including automation using Python and Selenium.
Perform rigorous data validation with SQL and evaluate AI model performance, accuracy, and fairness to meet quality standards.
Drive improvements in UAT processes, document compliance in SDLC, and mentor junior QA team members with significant impact on project and team quality.
7+ years of professional experience in Quality Engineering or Software/Data Quality Assurance.
Strong proficiency in Python scripting and test automation framework development; hands-on experience with Selenium.
Solid expertise in SQL for complex queries and backend data validation.
Bachelor’s/University degree or equivalent experience.
Experienced in testing AI/Machine Learning systems, including familiarity with Generative AI and Large Language Models (LLM).
Able to design and implement AI observability, monitoring solutions, and automated AI quality evaluation frameworks.
Skilled in assessing AI model risks and establishing AI guardrails addressing bias, toxicity, hallucinations, and unsafe outputs within enterprise environments.