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.

Skills Required
test coverage , Functional Testing, Regression Testing, Docker, Performance Testing, Data Science, Test Cases, Kubernetes, Automated Testing Tools, Tensorflow, Google Cloud, Pytest, Pytorch, Stress Testing, Statistical Analysis, Kanban, Azure, Java, Scrum, Junit, Aws, Jira, Python, Selenium