Automation Tester

2 days ago

tamil nadu, India Sutherland Full time

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.

As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.



Responsibilities:


  • Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems.
  • Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets.
  • Conduct bias testing, data drift analysis, and adversarial robustness validation.
  • Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria.
  • Automate testing pipelines and integrate with CI/CD environments where applicable.
  • Maintain traceability matrices, defect logs, and model validation documentation.



Qualifications:


  • 3–5 years of experience in software testing or QA, with at least 1–2 years in AI/ML or data-centric testing.
  • Strong understanding of AI model evaluation metrics, data sampling, and validation techniques.
  • Experience using testing frameworks (e.g., PyTest, Great Expectations) and visualization tools.
  • Familiarity with Python, JSON, and REST APIs.
  • Bachelor’s degree in Computer Science, Statistics, or a related field.



Required Skills:



  • Experience testing LLMs, GenAI prompts, or RAG workflows.
  • Exposure to responsible AI frameworks and model audit practices.
  • ISTQB or other QA certifications are a plus.



Preferred Skills:



  • Experience testing LLMs, GenAI prompts, or RAG workflows.
  • Exposure to responsible AI frameworks and model audit practices.
  • ISTQB or other QA certifications are a plus.

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