Cegid is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors. In today's rapidly changing world, Cegid & its 5,000 employees make more possible by helping their 750,000 customers unleash their potential thanks to innovative and purposeful business solutions.
Make more possible is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day to shape your future , ours and our clients' industries' future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.
@AI Factory
The AI Factory is dedicated to advancing our management software through AI innovation . Our primary goal is to seamlessly integrate AI features into our product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.
Your main objectives as a QA Automation Engineer:
You will be responsible for designing , implementing , and executing automated testing strategies to validate the functionality and performance of our Generative AI applications. In addition to traditional QA responsibilities, you will be at the forefront of ensuring the quality control and automation of our innovative Generative AI technologies, involving exploration and trial-and-error approaches.
As a QA Automation Engineer, you will:
Design , develop , and execute automated test scripts for functional, regression, and performance testing of Generative AI applications, integrating these tests into the CI/CD pipeline through collaboration with cross-functional teams;
Engage in exploratory testing and work closely with data scientists and developers to identify potential issues, innovate quality control processes, and refine testing strategies for Generative AI models ;
Maintain comprehensive documentation for test scripts, plans, and cases, iterating methodologies based on feedback and evolving requirements.
#J-18808-Ljbffr