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.