As a QA engineer you will be responsible for quality assurance in the domain of machine learning, driving the future of Industrial predictive analytics. you will have a chance to tackle some of the most demanding Big Data and IoT algorithmic problems SKF AI is facing.
QA testing experience of cloud-based systems — 3+ years
Hands-on experience with Linux scripting — 2+ years
Knowledge in tests automation methods
Experience with backend manual tests — 2+ years
Experience with agile development processes — 3+ years
Passion for software quality
Excellent English verbal and written communication skills
Be part of a young growing company;
Build great products with emerging technologies;
Work with the sharp and success-oriented team;
Gain experience in one of the hottest technological markets;
Competitive compensation and social packages;
Comfortable office in Kyiv Center;
Food supply in the kitchen e.g. fruits, cookies
Flexible working schedule
Overall product quality
Maintain and improve the existing test framework
Build and maintain a test automation framework for both backend and frontend
Development of automated tests
Continuously work on extending the test coverage
Collaborate with other developers and QA engineers
SKF AI is responsible for developing EnlightAI which provides an AI-Driven Industrial Intelligence solution. The EnlightAI solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud. With its proprietary adaptive algorithms, EnlightAI can analyse sensor behaviour, automatically learn how machines behave and use this learning to predict machine failures before they occur.
Last year, Presenso was acquired by Swedish-based SKF, the world’s largest bearing manufacturer with over 45,000 employees.