QA Engineer ensuring reliability and robustness of AI-powered products at Mistral AI. Designing test strategies and collaborating with teams for quality user experiences.
Responsibilities
Test Automation: Develop automated test suites to validate app features, APIs, and model integrations, ensuring end-to-end reliability and user experience.
Edge Case Analysis: Collaborate with PMs and other stakeholders to identify and rigorously test edge cases, improving the robustness of both platform features and models.
Quality Platform Development: Contribute to building tools and frameworks that enable more efficient and scalable quality testing processes across the organization.
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.
Requirements
You have proven ability to create and execute comprehensive test strategies, covering functional, regression, and exploratory testing for AI products.
You are proficient in QA tools like Playwright, Postman, 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.
You are proficient in Python or Typescript.
Now it would be ideal if you have :
Experience testing Machine Learning models.
Understanding of the Machine Learning lifecycle.
Experience in various types of testing : performance, load, accessibility or others
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