Automation QA with AI

Job Description : Experience in QA Engineering, AI / ML, and automation frameworks Proven experience in Designing and implementing AI-based test automation frameworks. NLP, LLMs (e.g., GPT-4, BERT), and data annotation techniques. Tools such as TensorFlow, PyTorch, Hugging Face, or equivalent. Strong programming background : Python, Java, or Scala. Experience with test automation tools like Selenium, Cypress, TestNG, or equivalent. Solid understanding of payment systems, financial services regulations, and transactional risk analysis Knowledge of CI / CD pipelines, DevOps, and tools like Jenkins, GitHub Actions, Azure DevOps, etc. Experience working with structured / unstructured data, data lakes, and data pipelines. Demonstrated success in delivering greenfield AI / ML initiatives from concept to scale.