QA Engineer - AI
Velsera
Full-time
Hybrid
Pune, India
Description
1. AI Model and Pipeline Validation
· Design and implement test plans and test cases for AI frameworks to ensure comprehensive validation of functionality, accuracy, and performance.
· Validate AI model outputs, identify discrepancies, and report bias in results.
· Ensure end-to-end validation of data pipelines, including data ingestion, preprocessing, transformation, and model deployment.
· Identify and resolve functional and non-functional issues in AI models and data workflows.
2. Test Automation & Scripting
· Develop and execute automated test scripts using Python.
· Utilize test automation tools like Selenium, PyTest, or similar frameworks to enhance testing efficiency.
· Implement CI/CD testing frameworks for AI/ML pipelines.
3. Cloud-Based AI Testing
· Conduct AI application testing on cloud platforms such as AWS, Azure, and Google Cloud.
· Ensure AI model performance remains optimal across different environments and scenarios.
· Validate large datasets, ensuring data preprocessing, augmentation, and quality assurance.
4. AI/ML Model Performance Testing
· Identify and report bottlenecks in AI models.
· Conduct stress testing for AI models in real-world use cases.
5. Collaboration & Quality Assurance
· Work closely with AI/ML engineers, data scientists, and software engineers to define quality standards.
· Contribute to compliance with AI-related regulatory and industry best practices.
· Document and maintain test cases, defect reports, and validation procedures for AI systems.
Requirements
What do you bring to the table?
· Strong experience in designing and implementing test cases for AI frameworks.
· Experience in validating AI model outputs and identifying discrepancies or biases.
· Attention to detail in identifying functional and non-functional issues in AI models.
· Proficiency in scripting and developing automated test scripts using Python
· Hands-on experience with test automation tools (Selenium, PyTest, etc.).
· Experience with cloud-based testing platforms (AWS, Azure, Google Cloud).
Preferred Skills:
· Familiarity with validating large datasets and ensuring data quality.
· Knowledge of AI/ML model evaluation tools like TensorFlow, Keras, PyTorch.
· Experience in performance testing of AI models in diverse environments.