AI Testing Professional

2 days ago

Thoothukudi, Tamil Nadu, India beBeeGenerativeai Full time ₹ 15,00,000 - ₹ 20,00,000

We are seeking a detail-oriented and skilled Quality Assurance (QA) Specialist with expertise in Generative AI Testing. This role involves ensuring the accuracy, safety, and performance of AI-driven applications, particularly in the field of Generative AI.

Job Title: AI Testing Professional
  • Design, develop, and execute comprehensive test plans for Generative AI models and applications.
  • Validate AI-generated outputs for accuracy, coherence, bias, ethical considerations, and alignment with business requirements.
  • Develop and maintain automated testing frameworks for AI-based applications, ensuring scalability and efficiency.
  • Perform adversarial testing, edge case analysis, and security testing to assess AI vulnerabilities.
  • Collaborate with AI/ML engineers, product managers, and developers to refine model performance and mitigate errors.
  • Monitor AI model drift and ensure consistent performance across different inputs and datasets.
  • Conduct performance testing to evaluate response times, scalability, and reliability of AI systems.
  • Document test cases, test results, and defects while ensuring compliance with AI governance and ethical guidelines.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in Quality Assurance, with at least 1-2 years in AI/ML testing or Generative AI applications.
  • Strong understanding of AI/ML concepts, NLP models, LLMs, and deep learning architectures.
  • Experience with AI testing tools such as LangTest, DeepChecks, Trulens, or custom AI evaluation frameworks.
  • Proficiency in test automation using Python, Selenium, PyTest, or similar frameworks.
  • Familiarity with model evaluation metrics such as BLEU, ROUGE, perplexity, and precision-recall for AI-generated content.
  • Knowledge of bias detection, adversarial testing, and ethical AI considerations.
  • Experience working with APIs, cloud platforms (AWS, Azure, GCP), and MLOps practices.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills to work in cross-functional teams.

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