Job
Description
This role is for one of Weekday's clients Salary range: Rs 500000 - Rs 700000 (ie INR 5-7 LPA) Min Experience: 5 years Location: Pune JobType: full-time Requirements About the Role We are seeking a highly skilled QA Automation Engineer with strong experience in automation testing and a deep understanding of AI/ML systems. This role is ideal for someone passionate about quality, automation frameworks, and ensuring high-performance, reliable products. You will be working closely with developers, product managers, and data scientists to ensure our AI/ML-powered products are thoroughly tested, functionally robust, and performance-optimized. This position offers a unique opportunity to work at the intersection of QA automation, Python programming , and AI/ML testing , driving innovation in how software quality is maintained in modern intelligent systems. Key Responsibilities Automation Framework Development: Design, develop, and maintain robust automation frameworks using Python to validate functionality, performance, and scalability of applications, with a focus on AI/ML systems. Test Strategy & Planning: Define test strategies for new features, focusing on both functional and non-functional aspects, especially for ML models and data pipelines. AI/ML Testing: Collaborate with data scientists to develop test scenarios for machine learning algorithms, model validation, performance, accuracy, and bias detection. Integration & End-to-End Testing: Ensure complete test coverage across system components — from backend services to user interfaces — especially when ML models are part of the pipeline. Automation Execution & Maintenance: Write clean, scalable, and maintainable test scripts and manage regular test runs through CI/CD pipelines. Bug Reporting & Root Cause Analysis: Identify bugs, document reproducible test cases, and assist development teams in root cause analysis and resolution. Collaboration & Review: Work with cross-functional teams including engineering, product, and analytics to understand requirements, define test cases, and improve test coverage. Performance & Load Testing: Conduct performance testing for AI-driven components to ensure they meet latency and scalability requirements. Required Skills And Qualifications Experience: At least 5 years of hands-on experience in QA automation, preferably in a product-based or AI-driven environment. Automation Expertise: Strong programming skills in Python and experience building/maintaining test automation frameworks (e.g., Pytest, Selenium, Robot Framework). AI/ML Testing: Exposure to testing AI/ML applications, including understanding of machine learning workflows, model evaluation metrics, and potential edge cases. CI/CD & Tools: Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab. Experience with test management tools like JIRA, TestRail, or Zephyr. Quality Mindset: In-depth knowledge of software QA methodologies, tools, and processes, with a strong emphasis on automation-first principles. Problem Solving: Ability to troubleshoot complex systems and conduct deep-dive investigations when things go wrong. Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical field. Nice to Have Understanding of ML frameworks (e.g., TensorFlow, PyTorch) Knowledge of data validation frameworks and tools (e.g., Great Expectations) Exposure to testing data pipelines, APIs, and microservices Show more Show less
