Automation Testing with AIML

Technical Skills – Must have
 Lead the design and development of AI-driven test automation frameworks and solutions. Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented. Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation. Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms. Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations. Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions. Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle. Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency. Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities. Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable. Proficiency in programming languages commonly used in AI, such as Python, Java, or R. Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with testing methodologies and practices, including Agile and DevOps. Working experience on Python/Java and Selenium also knowledge in prompt engineering.Skills:- Automation, AIML, Artificial Intelligence (AI) and Machine Learning (ML)