Quality Engineer
3 weeks ago
Job Description:
We are looking for a highly skilled QA Engineer with 5-7 years of experience in Quality Assurance. The ideal candidate should possess a strong foundation in QA methodologies, be proficient in modern tech stacks, and have hands-on experience in testing AI models, hands-on using large language models (LLMs). This role involves end-to-end testing of web applications, APIs, and databases, as well as validating AI model outputs for accuracy, robustness, and fairness.
Key Responsibilities:
Design, develop, and execute test cases using modern automation frameworks and scripting languages.
Work closely with development teams to understand application functionality and ensure comprehensive test coverage for both traditional systems and AI-driven components.
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.
Collaborate with cross-functional teams (Development, Data Science, DevOps) to troubleshoot and resolve issues efficiently.
Stay up-to-date with the latest advancements in AI model testing, automation tools, and QA best practices
Mentor junior team members and participate in continuous learning opportunities within the QA domain.
Qualifications & Skills Required:
Bachelors 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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