AI QA Automation Engineer

Job Description: As a Full-stack QA · Demonstrates exceptional functional testing abilities for AI and GenAI projects, with a strong focus on identifying and addressing edge cases. · Strong understanding of AI and GenAI concepts, algorithms, and frameworks. · Ensures comprehensive test coverage of AI algorithms, models, and systems to identify defects, ensuring accuracy and reliability · Writes detailed test cases to thoroughly evaluate software functionality. · Documents defects meticulously and track them through to resolution. · Perform regression testing, performance testing, and stress testing to validate the robustness of AI solutions. Monitor and analyze test results, providing detailed reports and recommendations for improvements. · Design and implement automated testing frameworks and tools to streamline the testing process. · Proficiency in programming languages such as Python, Java. · Experience with automated testing tools and frameworks (e.g., Selenium, JUnit, PyTest) · Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch) · Knowledge of data science and statistical analysis · Actively participate in grooming, planning sessions and provides estimate for test activities. · Take responsibility for releases, ensuring all functional testing requirements are met. · Should understand JIRA and XRAY or similar test management tools. · Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). · Experience working within Agile software development methodologies, such as Scrum and Kanban. · Must meet the required quality deliverables, adhere to deadlines. · Previous work experience in the finance domain is a plus. · Maintain clear and effective communication with stakeholders, providing regular updates on project status, risks, and issues As a member of the QA community · Must have strong testing mindset with meticulous attention to detail, ensuring thorough validation of software functionality and identifying potential issues early in the development process. · Stay updated with the latest advancements in AI and GenAI technologies, incorporating best practices into the testing process. · Must have a good understanding of object-oriented design principles and best practices of automation scripting. · Ability to proactively provide input during the grooming sessions based on the design/implementation options · Stay up to date on the latest developments in technology · Learn and share learnings with the community · Mentor and guide junior team members, fostering their growth and development.