Artificial Intelligence
Tekgeminus
All India • 1 month ago
Experience: 2 to 6 Yrs
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Job Description
As an Artificial Intelligence (AI) Tester, your main role will involve testing AI/ML models, chatbots, NLP systems, and data-driven applications. You will design and execute test cases for AI algorithms and predictive models, ensuring data quality, model accuracy, and performance metrics. Your responsibilities will also include performing functional, regression, and performance testing for AI-based products, and identifying biases, inconsistencies, and ethical risks in AI systems. Collaboration with Data Scientists, ML Engineers, and Developers to address defects will be an essential part of your work. Additionally, you will conduct API testing for AI services, and automation testing using tools like Selenium, PyTest, or similar frameworks. It will be your duty to prepare detailed test reports and documentation, while ensuring compliance with AI governance and security standards.
Key Responsibilities:
- Test AI/ML models, chatbots, NLP systems, and data-driven applications
- Design and execute test cases for AI algorithms and predictive models
- Validate data quality, model accuracy, and performance metrics
- Perform functional, regression, and performance testing for AI-based products
- Identify biases, inconsistencies, and ethical risks in AI systems
- Work closely with Data Scientists, ML Engineers, and Developers to resolve defects
- Conduct API testing for AI services
- Perform automation testing using tools like Selenium, PyTest, or similar frameworks
- Prepare detailed test reports and documentation
- Ensure compliance with AI governance and security standards
Qualifications Required:
- Bachelor's degree in Computer Science, IT, AI, Data Science, or related field
- 2+ years of experience in Software Testing / QA (AI testing preferred)
- Basic understanding of Machine Learning concepts and algorithms
- Knowledge of Python or scripting languages
- Experience in API testing (Postman, REST Assured)
- Understanding of data validation techniques
- Familiarity with automation testing tools
- Good analytical and problem-solving skills As an Artificial Intelligence (AI) Tester, your main role will involve testing AI/ML models, chatbots, NLP systems, and data-driven applications. You will design and execute test cases for AI algorithms and predictive models, ensuring data quality, model accuracy, and performance metrics. Your responsibilities will also include performing functional, regression, and performance testing for AI-based products, and identifying biases, inconsistencies, and ethical risks in AI systems. Collaboration with Data Scientists, ML Engineers, and Developers to address defects will be an essential part of your work. Additionally, you will conduct API testing for AI services, and automation testing using tools like Selenium, PyTest, or similar frameworks. It will be your duty to prepare detailed test reports and documentation, while ensuring compliance with AI governance and security standards.
Key Responsibilities:
- Test AI/ML models, chatbots, NLP systems, and data-driven applications
- Design and execute test cases for AI algorithms and predictive models
- Validate data quality, model accuracy, and performance metrics
- Perform functional, regression, and performance testing for AI-based products
- Identify biases, inconsistencies, and ethical risks in AI systems
- Work closely with Data Scientists, ML Engineers, and Developers to resolve defects
- Conduct API testing for AI services
- Perform automation testing using tools like Selenium, PyTest, or similar frameworks
- Prepare detailed test reports and documentation
- Ensure compliance with AI governance and security standards
Qualifications Required:
- Bachelor's degree in Computer Science, IT, AI, Data Science, or related field
- 2+ years of experience in Software Testing / QA (AI testing preferred)
- Basic understanding of Machine Learning concepts and algorithms
- Knowledge of Python or scripting languages
- Experience in API testing (Postman, REST Assured)
- Understanding of data validation techniques
- Familiarity with automation testing tools
- Good analytical and problem-solving skills
Skills Required
test case design
functional testing
regression testing
performance testing
API testing
automation testing
Selenium
test reporting
Python
scripting languages
analytical skills
AIML models testing
chatbots testing
NLP systems testing
datadriven applications testing
PyTest
compliance with AI governance
security standards
Machine Learning concepts
API testing tools
data validation techniques
automation testing tools
problemsolving skills
Posted on: March 5, 2026
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