Back
Tier-1 brand and Bangalore location increase applicant density despite niche AI testing focus.
Core QA skills are transferable, but AI model testing requires ML-specific domain knowledge.
Explicit 0–2 years plus technical skill requirements create moderate candidate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and execute test plans and test cases specifically for AI/ML-based applications and models.
Validate AI models for accuracy, bias, performance, and ensure data quality and compliance within AI systems.
Automate test cases using modern tools and collaborate with cross-functional teams to identify and resolve defects.
Bachelor’s degree in Computer Science, IT, or related field.
0–2 years of experience in software testing or QA.
Basic understanding of AI/ML concepts including supervised, unsupervised learning, NLP, etc.
Familiarity with Python or any programming language, API testing tools (e.g., Postman), and test automation tools (e.g., Selenium, Playwright).
Early-career professional with foundational knowledge in software testing and AI concepts, looking to grow in AI application testing.
Experience or exposure to automation and API testing, able to work collaboratively with data scientists and developers.
Candidates familiar with AI model evaluation metrics and cloud platforms (preferred but not required) are advantaged.