AI - QA Engineer

• Strong QA fundamentals, risk-based testing

• Basic ML workflows, AI bias & fairness awareness

• AI metrics: accuracy, precision, recall, F1

• Python automation, API testing (Postman)

• Test tools: PyTest, Selenium; Git, CI/CD

• Familiar with AI/ML tools & cloud platforms

• Analytical, proactive, team player

• Track metrics, report defects and risks

Overview

• Industry - IT - Software / Product Development
• Functional Area - Quality - QC / QA / QMS / TQM / Lean / Six Sigma
• Job Role - QA / QC Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office
• Open To Hire - Other Industry

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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