EY Testing - DET Staff 

India, Tamil Nadu, Coimbatore 

366014701

Test case design:

• Good understanding about the various testing touch points in a model development lifecycle
• Participate in discussions with team members to understand testing needs.
• Support the development of test cases based on project requirements.
• Ability to define test cases to validate input data, Model functional performance, Model response etc

Test Execution:

• Execute manual tests for AI models and document results.
• Prior experience in performing AI specific testing methods like Pairwise testing, Metamorphic testing, Back-to-Back testing, Bias Testing, Drift testing etc
• Knowledge on responsible AI testing
• Knowledge on explainability testing tools (e.g., LIME, SHAP etc.)
• Assist in running automated tests and analysing their outcomes.

Model Validation Support:

• Help validate AI models against performance metrics such as accuracy and recall.
• Learn to conduct exploratory testing to identify potential issues.
• Exposure to testing LLM models

Data Quality Checks:

• Collaborate with data teams to ensure the quality of datasets used in testing.
• Participate in data validation activities to maintain data integrity.
• Prior experience in performing various data validation activities like data collection/generation, data augmentation, Exploratory data analysis, data bias and privacy etc

Documentation:

• Document test results and maintain clear records of defects found during testing.
• Prepare summary reports of testing activities for review.

Learning and Development:

• Stay informed about AI testing best practices and tools.
• Seek guidance from senior engineers to improve testing skills and knowledge.

Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.

Experience:

• 1-4 years of experience in software testing / development with exposure to Python
• 1+ years in testing on AI/ML applications.

Technical Skills:

• Basic understanding of AI/ML concepts and algorithms.
• Familiarity with programming languages such as Python or Java is a plus.
• Exposure to software testing principles and practices.
• Strong analytical and problem-solving skills.
• Attention to detail and a commitment to quality.
• Experience with testing tools (e.g., Selenium, PyTest) through coursework or internships.
• Knowledge of version control systems (e.g., Git) is a plus.
• Experience with Agile methodologies is a bonus.