Artificial Intelligence Model Tester

6 days ago

Mumbai, Maharashtra, India Ohara IT Solutions Full time

About the Role

We are looking for a talented Quality Assurance Engineer with expertise in testing AI models and LLMs. The ideal candidate should have a strong foundation in QA methodologies and proficiency in modern tech stacks.

The successful candidate will be responsible for designing, developing, and executing test cases using modern automation frameworks and scripting languages. You will work closely with development teams to understand application functionality and ensure comprehensive test coverage for both traditional systems and AI-driven components.

Responsibilities:

  • Develop and execute test plans and test cases for AI models and LLMs.
  • Collaborate with development teams to understand application functionality and ensure comprehensive test coverage.
  • Perform end-to-end testing of AI models, and validate model outputs against expected outcomes.
  • Establish and validate connectivity with databases like MySQL, and MongoDB, and perform data validation using JDBC or other modern drivers.
  • Ensure data ingestion processes into databases are thoroughly tested and validated for data integrity.
  • Validate REST API responses, ensuring consistency with data stored in databases and AI model predictions.
  • Perform performance and stress testing on AI models, web applications, and APIs to identify bottlenecks.
  • Implement automated testing frameworks (e.g., Selenium, Cypress, testNG) and CI/CD pipelines to improve testing efficiency.
  • Analyze defects, inconsistencies, and areas for improvement using strong analytical and problem-solving skills.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5-7 years of hands-on experience in QA roles with strong expertise in testing AI models and LLMs.
  • Proficiency in Java, Python, or other modern programming languages, with hands-on experience in coding test scripts.
  • Strong knowledge of MySQL, MongoDB, and JDBC drivers for database testing and validation.
  • Understanding of AI model testing, including model performance, output validation, and testing for bias/fairness.
  • Experience with automation testing tools such as Selenium, Cypress, Appium, JUnit, or REST Assured.
  • Experience in performance testing tools (e.g., JMeter) and CI/CD pipeline integration.
  • Excellent analytical, logical, and problem-solving skills.
  • Strong communication and collaboration skills, capable of working effectively with cross-functional teams.
  • Experience with modern QA tools like JIRA, Jenkins, Git, and Docker for test automation and CI/CD pipeline setup.

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