Machine learning SQA Testing

You should have expertise in Agile Methodology with a strong focus on continuous testing and delivery cycles. Proficiency in Python (preferred) and Java for AI and ML automation tasks is required. Experience in testing Generative AI models, Large Language Models (LLMs), and AI-driven systems like Chatbots and AI agents is essential. Hands-on experience designing automation frameworks using tools like pytest, mlflow, Selenium, or Serenity BDD for AI/ML applications is expected, along with knowledge of estimation techniques for Automation testing efforts. You must be able to develop automation test strategies for AI/ML applications deployed on public and private cloud environments. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API is necessary. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products, is also required. Proficiency in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting is a must. You should have experience in Functional, Regression, UI/Usability, and Integration testing for AI/ML applications. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems is expected. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases is also important for this role.,