The candidate will be responsible for designing and executing comprehensive test strategies to ensure the accuracy, reliability, performance, scalability, and robustness of AI/ML solutions.
Key Responsibilities:
Design and execute test strategies, test plans, test scenarios, and test cases for AI/ML applications.
Perform functional, integration, regression, system, API, and end-to-end testing.
Validate AI/ML model outputs against expected results and business requirements.
Test data quality, data pipelines, preprocessing, feature engineering, and data transformations.
Validate model performance using appropriate metrics such as accuracy, precision, recall, F1-score, ROC-AUC, MAE, and RMSE.
Identify and validate issues related to model bias, data drift,
model degradation, and inconsistent predictions.
Perform testing of REST APIs and AI/ML services using tools such as Postman.
Develop and maintain automation test scripts using Python and frameworks such as PyTest.
Qualifications
Basic to positive understanding of Machine Learning concepts and algorithms.
Understanding of supervised and unsupervised learning.
Experience validating ML model predictions and outputs
Additional Information
All your information will be kept confidential according to EEO guidelines.
📌 Ai/ml Test Engineer Immediate Joiners Only Bengaluru (India)
🏢 Soais- Ardent ERP
📍 India
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