Key Responsibilities:
Explore, assess and architect AI based test solutions and accelerators to positively impact vanilla testing and test automation platforms.
Imbibe AI into everyday testing and testing life cycle practices.
Test Strategy Design: Create and implement testing frameworks for AI systems to ensure they work as expected.
Automation: Develop automated tests to support continuous integration and efficient testing of AI models.
Performance Testing: Test the performance and scalability of AI systems to ensure they can handle real-world conditions.
Collaboration: Work with data scientists and software engineers to integrate testing solutions into the development process.
Data Management: Ensure that the test data used is high-quality and diverse for accurate testing.
Documentation: Document test plans, results, and improvements to enhance AI system quality.
Model Validation: Evaluate AI models for accuracy and fairness, ensuring they meet performance standards.
Risk Management: Identify and address potential risks like biases or privacy concerns in AI systems.
Respond to RFPs with test solutions driven by AI, and solutions embedded by AI driven accelerators.
Any Graduate