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Mid-level, generalist QA automation in Bangalore with AI/ML skills attracts many applicants.
Core automation skills transfer easily, but AI/ML model validation increases domain specificity.
Explicit 5–7 years plus specific automation, programming, and AI/ML validation skills increases filtering.
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Design, develop, and maintain modular, reusable test automation frameworks and scripts, ensuring high stability and coverage.
Validate applications and APIs integrated with AI/ML/GenAI workflows, focusing on accuracy, bias, toxicity, correctness, and traceability of model outputs.
Collaborate with cross-functional teams to estimate testing timelines, participate in product design reviews, and continuously improve QA processes and methodologies.
5-7 years of hands-on experience in automated test case development and execution.
Proficiency in Selenium/WebDriver, Playwright, or Postman for test automation and API testing.
Strong programming skills in Python, Java, JavaScript/TypeScript, or C#.
Experience with validating AI/ML integrated applications focusing on model output quality and synthetic test data generation.
Experienced in QA automation for AI-driven products, including LLM-integrated workflows and ML pipeline data validation.
Ability to design and execute tests focusing on complex AI model evaluation metrics and guardrail patterns (e.g., precision/recall, bias, toxicity).
Skilled in collaborative cross-functional work environments, balancing individual contributions with team goals to meet deadlines.