QA Engineer, Mistral AI

• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• You have a proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing
• You are proficient in QA tools like Postman, Selenium, or similar platforms for API and functional testing
• You’re skilled in identifying, documenting, and collaborating with developers to resolve issues efficiently
• You are autonomous and a self-starter
• You are a proactive problem-solver with a continuous improvement mindset

Desirable

• Model Behavior Testing: Develop and execute tests to validate the behavior of machine learning models, ensuring they produce consistent, accurate, and contextually appropriate outputs
• API Testing Automation: Build automated testing suites to ensure APIs function correctly and integrate seamlessly with the inference stack, preventing critical errors during deployment
• Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both models and platform features
• Release Readiness Validation: Implement pre-release quality gates to validate models, APIs, and platform updates, providing a green light for production releases
• Systematic QA Campaigns: Design and lead comprehensive quality assurance campaigns, including functional, stress, and performance testing, to proactively identify potential issues
• Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization