Description

You will design and implement AI-based test automation frameworks for greenfield AI/ML initiatives.

Responsibilities

• Design and implement AI-based test automation frameworks from concept to scale.
• Apply NLP, LLMs, and data annotation techniques to testing workflows.
• Work with structured and unstructured data across data lakes and pipelines.
• Integrate automated testing into CI/CD pipelines and DevOps workflows.
• Analyze transactional risk within payment systems and financial services frameworks.

Required Skills

• 5+ years of experience in QA Engineering, AI/ML, and automation.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with LLMs such as GPT-4 or BERT.
• Experience with TensorFlow, PyTorch, or Hugging Face.
• Use of test automation tools like Selenium, Cypress, or TestNG.
• Knowledge of Jenkins, GitHub Actions, or Azure DevOps.
• Understanding of payment systems and financial services regulations.
• Experience managing data pipelines and data lakes.
• Any Graduate degree.

Preferred Skills

• Experience delivering greenfield AI/ML projects from inception to production.

Key Skills

Education

Any Graduate