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Tier-1 brand, common QA automation title, and metro locations increase applicant density.
Core QA automation skills transfer well, but specialized AI testing and banking context require domain familiarity.
Mandatory 7+ years and specific Python, Selenium, SQL, and AI testing skills enforce strict filtering.
Own design, development, and execution of comprehensive test strategies for AI/ML and Generative AI applications.
Build and maintain scalable test automation frameworks using Python and Selenium; perform backend data validation using SQL.
Evaluate AI model performance and quality, collaborate with cross-functional teams, and lead quality engineering process improvements.
7+ years of professional experience in Quality Engineering or Software/Data Quality Assurance.
Strong proficiency in Python scripting for test automation and framework development.
Hands-on experience with Selenium and solid expertise in SQL for complex queries and data validation.
Experience in testing AI/Machine Learning systems with familiarity in Generative AI concepts; Bachelor's degree or equivalent.
Experienced in quality engineering within technology-driven projects involving AI/ML systems and automation frameworks.
Able to critically assess AI models and implement AI observability and governance tools to manage risks like bias and hallucinations.
Comfortable working cross-functionally with data scientists, engineers, and product managers to integrate testing in development life cycles.