Quality Engineer - testing AI machine learning applications - 91051-1

Job Description: Position Title: Quality Engineer

Line of Business: DIGITAL WEB DEVELOPMENT

Duration: 6 months

Remote/Hybrid: hybrid, every Wednesday and 3rd Friday of month

Office Location: 81 Bay 19th Floor

Work Schedule (hours per week, start time): mon- fri 9-5

Best vs average candidate: testing AI machine learning applications, created automated testing scripts for python applications focused on generative AI, integration with CICD pipelines (test cases), Selenium/Cyprus/Loadrunner experience, Unit testing experience,

Job Description: Key Responsibilities:

• Develop and execute automated test scripts using Selenium or equivalent tools to ensure the quality and functionality of applications.

• Write and maintain Python code for test automation and validation of application features.

• Conduct thorough testing of front-end technologies, including applications built with Vue.js, to ensure seamless user experiences.

• Test and validate generative AI applications, focusing on the accuracy, reliability, and consistency of outputs.

• Develop and execute test cases to evaluate the performance, scalability, and usability of generative AI applications.

• Identify and document issues related to AI-generated outputs, including edge cases, inconsistencies, and potential biases.

• Ensure compliance with quality standards and ethical guidelines in the use of generative AI technologies.

• Monitor and report on test results, providing actionable insights to improve application quality.

Must Have skills:

• Experience in test automation tools (Selenium or equivalent framework) - 2 years

• Experience in Python programming, with experience in writing and debugging code for testing purposes - 2 years

• Experience in front-end technologies, particularly Vue.js. - 2 years

• Experience testing AI or machine learning applications, with a focus on generative AI outputs - 2 years

• Solid understanding of software development lifecycles and quality assurance methodologies.

• Excellent problem-solving skills and attention to detail.

• Strong communication and documentation skills to effectively report findings and recommendations.

Nice to Have:

• Experience with additional testing tools or frameworks (e.g., Cypress, Playwright).

• Knowledge of CI/CD pipelines and integrating automated tests into the development workflow.

• Familiarity with performance testing and tools like JMeter or LoadRunner.

• Experience working in Agile or Scrum environments.

• Awareness of ethical AI principles and testing frameworks for responsible AI development.