Lead QA Automation + Functional

Job Summary

We are seeking a highly skilled QA Lead with extensive experience in testing AI applications. The ideal candidate will have a strong background in developing QA strategies, leading QA teams, and implementing automation testing using tools such as Selenium, Appium, and Rest Assured. If you are passionate about ensuring the quality of AI-driven solutions and have a proven track record in implementing effective QA processes, we invite you to join our dynamic team.

Responsibilities
 Lead and manage the QA team, providing guidance and expertise in testing AI applications.
 Develop and implement comprehensive QA strategies for AI projects, ensuring the testing process aligns with project goals and timelines.
 Collaborate with cross-functional teams to understand project requirements, including AI model specifications, and formulate effective testing plans.
 Oversee the creation and execution of test plans, test cases, and test scripts for AI applications, covering both. functional and non-functional testing aspects.
 Implement and maintain automated testing frameworks using Selenium, Appium, and Rest Assured to ensure efficient and repeatable testing processes.
 Lead efforts in identifying and implementing appropriate testing methodologies for AI models, including regression testing, performance testing, and compatibility testing.
 Work closely with developers, data scientists, and other stakeholders to understand the AI application architecture and design effective testing strategies.
 Provide technical leadership in troubleshooting and resolving QA-related issues, ensuring timely delivery of high-quality software.
 Mentor and train QA team members in AI testing best practices, automation techniques, and testing tools.
 Stay abreast of industry trends, emerging technologies, and advancements in AI and automation testing, and incorporate relevant practices into the QA process.

Qualifications
 Bachelors or Masters degree in Computer Science, Engineering, or a related field.
 Proven 8+ years experience as a QA Lead, specifically working on AI applications.
 Solid understanding of AI concepts, including machine learning models, neural networks, and natural language processing.
 Extensive experience in developing and implementing QA strategies for complex software projects.
 Proficiency in automation testing tools, particularly Selenium, Appium, and Rest Assured.
 Hands-on experience in creating and executing automated test scripts for web and mobile applications.
 Strong programming/scripting skills in languages such as Java, Python, or similar for test automation.
 Excellent analytical and problem-solving skills with a keen attention to detail.
 Effective communication and leadership skills to coordinate with cross-functional teams and stakeholders,