We are looking for a skilled AI QA Engineer with 2 to 5 years of experience in quality assurance for AI/systems or data-driven platforms. The ideal candidate will have experience in functional, performance, and data validation testing of AI models.

Roles and Responsibility

- Develop and execute comprehensive test plans for AI systems and data-driven platforms.

- Collaborate with cross-functional teams to identify and prioritize testing requirements.

- Design and implement automated testing frameworks for NLP, machine learning, and data-centric applications.

- Analyze and report defects found during testing, working with development teams to resolve issues.

- Participate in the development of testing standards and best practices.

- Stay up-to-date with industry trends and emerging technologies in AI and data analytics.





Job Requirements

- Minimum 2 years of experience in quality assurance for AI/systems or data-driven platforms.

- Experience in functional, performance, and data validation testing of AI models.

- Familiarity with testing frameworks for NLP, machine learning, and data-centric applications.

- Robust understanding of software development life cycles and agile methodologies.

- Excellent analytical and problem-solving skills, with attention to detail and ability to work independently.

- Effective communication and collaboration skills, with experience working with cross-functional teams.

📌 AI QA Engineer (New Delhi)
🏢 Wits Innovation Lab
📍 New Delhi