QA Cypress Engineer

We are seeking an experienced Senior AI QA Automation Engineer with expertise in Cypress and Selenium to join our forward-thinking team. The ideal candidate should possess a strong background in artificial intelligence, software development, and quality assurance. As a Senior AI QA Automation Engineer, you will play a pivotal role in designing, implementing, and maintaining advanced automated test suites powered by AI technologies to ensure the reliability and performance of our software products.
Responsibilities:
Design, develop, and maintain AI-driven automated test scripts using Cypress and Selenium to validate the functionality, accuracy, and scalability of our AI-powered applications.
Collaborate closely with AI engineers, data scientists, and software developers to integrate AI-driven testing solutions into our development and testing processes.
Implement machine learning algorithms and techniques to enhance test automation capabilities, including intelligent test case generation, predictive analytics, and anomaly detection.
Analyze test results using AI-powered analytics tools to identify patterns, trends, and potential issues, and provide actionable insights to improve software quality.
Research and evaluate emerging AI technologies, frameworks, and methodologies to continuously improve our AI QA automation practices.
Contribute to the development and maintenance of AI models, datasets, and training pipelines for testing purposes.
Work closely with cross-functional teams to understand project requirements, define test strategies, and ensure comprehensive test coverage.
Document test procedures, results, and findings in clear and concise reports, and communicate effectively with stakeholders.
Mentor junior team members and share expertise in AI, automation, and software testing best practices.
Stay up-to-date with the latest advancements in AI, machine learning, and automation testing, and apply them to enhance our testing processes.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
7+ years of professional experience in software development, quality assurance, and AI/machine learning.
Strong proficiency in Cypress and Selenium for automated testing of web applications.
Solid understanding of artificial intelligence concepts, algorithms, and techniques, with hands-on experience in applying AI to software testing.
Proficiency in programming languages such as Python, JavaScript, or Java.
Experience with AI/ML libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch) is highly desirable.
Familiarity with AI-driven testing tools and platforms is a plus (e.g., Applitools, Test.ai, Functionize).
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Proven ability to multitask, prioritize tasks, and meet deadlines in a fast-paced environment.