QA Engineer

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:

We are working with a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:

We are hiring a QA Engineer to ensure quality across software, data, and AI/ML pipelines. You will design automated and manual tests to verify robustness, performance, and reliability.

Required skills:

– 6+ years of experience in QA engineering, including automation testing.
– Proficiency in Selenium, Pytest, and API testing tools.
– Hands-on experience testing data pipelines and AI/ML models.
– Knowledge of CI/CD integration for continuous testing.
– Understanding of QA methodologies and performance testing.
– Excellent analytical and problem-solving skills.
– Strong attention to detail and teamwork orientation.

Responsibilities:

– Create and execute manual and automated test plans.
– Perform API testing and data validation.
– Integrate testing into CI/CD pipelines.
– Collaborate with developers to ensure quality delivery.
– Provide expert advice and support in designing and implementing QA processes and strategies.
– Work closely with teams to ensure quality standards are met and help improve overall QA practices on the projects.