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Job Description
Structured overview of role & requirementsAbout This Role
Own the quality assurance strategy and execution for AI-driven educational platforms, including designing and running automated and manual tests to ensure reliability, performance, and security.
Validate AI/ML features such as automated scoring, feedback mechanisms, and evaluate AI model outputs for accuracy, bias, and hallucinations.
Collaborate with product and development teams to identify issues early, improve QA processes, and report quality KPIs to senior management.
Minimum Requirements
Bachelor's or Master's degree in Computer Science or related field.
Minimum 3 years of proven experience as a Quality Assurance Engineer.
Hands-on expertise in automated testing tools (e.g., Selenium, Cypress, Playwright) and AI/ML application testing.
Experience with coding (Java, PHP, Python, or JavaScript), API testing (Postman, REST Assured), and knowledge of SQL and scripting.
Ideal Candidate Profile
Experienced in testing AI/ML-powered software with knowledge of LLM concepts including hallucinations and bias handling in tests.
Skilled in creating detailed test strategies combining white box and black box testing within agile environments.
Capable of using AI-assisted testing tools to accelerate test generation, automation, and defect analysis.