We are seeking a QA Tester with AI testing expertise and programming skills to validate and enhance AI-driven applications. The ideal candidate should have experience in automated testing, AI model evaluation, and software validation across various platforms.

Key Responsibilities:

1. AI Testing & Model Validation:
• Develop and execute test cases to ensure AI model fairness, accuracy, and robustness.
• Assess AI outputs for bias, performance, and correctness.
• Implement automated test scripts for AI applications.

2. Test Automation & Scripting:
• Develop and maintain test frameworks (Selenium, Playwright, Cypress).
• Create API and UI automation scripts (Python, Java, JavaScript).
• Integrate automated testing into CI/CD pipelines.

3. Functional & Performance Testing:
• Perform end-to-end, regression, and performance testing for AI applications.
• Validate system performance using JMeter, Postman, or LoadRunner.
• Track and report defects using JIRA, TestRail, or similar tools.

4. Collaboration & Quality Assurance:
• Collaborate with developers, data scientists, and DevOps to identify issues early.
• Ensure AI applications align with best practices, industry standards, and ethical guidelines.
• Document and report test strategies, plans, and results.

Required Qualifications:
• 5+ years of experience in software testing, including AI testing exposure.
• Strong programming skills in Python, Java, or JavaScript.
• Hands-on experience with automated testing tools (Selenium, Playwright, Cypress).
• Familiarity with AI frameworks (TensorFlow, PyTorch, Hugging Face).
• Proficiency in API testing and CI/CD pipelines.
• Strong analytical and problem-solving skills.