AI Model Testing Specialist

2 days ago

Hyderabad Secunderabad Telangana, India beBeeAutomatedTesting Full time
Job Title

  • Hands-on experience with test automation frameworks (Selenium, Cypress, JUnit, TestNG) within software or AI-focused teams.
  • Hands-on experience with test automation frameworks and tools (Selenium, Cypress, JUnit, TestNG, Postman).
  • Experience or and ability to automate testing of APIs and web interfaces.
  • Familiarity with AI/ML systems and relevant testing methodologies, particularly familiarity with testing AI models, NLP systems, embeddings, and vector-based retrieval systems.
  • Familiarity with common AI model evaluation around NLP, Retrieval-Augmented Generation (RAG), or similar model architectures.
  • Experience conducting root cause analyses, CAPA metrics and methods.
  • Experience with performance testing and load testing tools to validate scalability and reliability of AI services.
  • Excellent analytical processes, and statistical analysis, troubleshooting, and root-cause analysis skills.
  • Strong communication and collaboration
  • Experience with performance and load testing tools (e.g., JMeter, Gatling) to ensure scalability and reliability of AI-driven applications.
  • Knowledge of AI model evaluation metrics (precision, recall, F1-score, accuracy, BLEU, ROUGE, etc.) and techniques for validation.
  • Familiarity with vector databases and embedding-based retrieval technologies (e.g., Pinecone, Weaviate, Chroma).
  • Strong analytical, troubleshooting, and root-cause analysis skills with the ability to systematically address issues and propose effective corrective actions.
  • Excellent communication skills and the ability to collaborate effectively across multidisciplinary teams (engineering, product management, data science).
  • Experience working in agile software development environments (Scrum, Kanban)

Mandatory skills

  • Hands-on experience with test automation frameworks (Selenium, Cypress, JUnit, TestNG) within software or AI-focused teams.
  • Experience or and ability to automate testing of APIs and web interfaces.
  • Familiarity with AI/ML systems and relevant testing methodologies, particularly familiarity with testing AI models, NLP systems, embeddings, and vector-based retrieval systems.
  • Familiarity with common AI model evaluation around NLP, Retrieval-Augmented Generation (RAG), or similar model architectures.
  • Experience with performance testing and load testing tools to validate scalability and reliability of AI services.
  • Desired skills*Knowledge of AI model evaluation metrics (precision, recall, F1-score, accuracy, BLEU, ROUGE, etc.) and techniques for validation.

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