





Mid-level QA automation in Bangalore with common skillset and metro location increases applicant competition.
QA automation skills are transferable, but AI/ML model validation requirements increase domain specificity to medium.
Explicit 5-7 year requirement plus mandatory automation, programming, and AI-model validation skills makes filtering strict.
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Develop, maintain, and execute modular and reusable automated testing frameworks and scripts, focusing on stability and coverage.
Create and validate test data for AI/ML/GenAI integrated applications and APIs, ensuring accuracy, bias, toxicity, and traceability checks.
Collaborate with cross-functional teams on test planning, defect tracking, and improving QA methodology to ensure high-quality product delivery.
5 - 7 years of experience in automated testing and test plan execution.
Proficiency with Selenium/WebDriver, Playwright, or Postman for automation.
Strong programming skills in Python, Java, JavaScript/TypeScript, or C#.
Experience validating AI/ML/GenAI workflows including test data creation and model output validation.
Experienced in end-to-end testing and automation for AI-driven software and LLM-integrated workflows.
Able to design tests for model evaluation metrics (e.g., precision/recall, BLEU/ROUGE, bias) and implement risk gating.
Skilled in working collaboratively across teams with focused expertise in QA automation frameworks and data validation for AI applications.