Job Description :

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.

 

             

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