3+ years professional experience in Machine Learning;
Industry experience in development and deployment Machine Learning based models to production;
Proficiency with machine learning frameworks like TensorFlow/Bert/Sklearn;
Proficiency with Deep Learning algorithms and packages;
Familiar with CI/CD practices (GitHub actions, Jenkins, AWS Code Pipeline, etc);
English – Intermediate +.
Experience with AWS and AWS Machine Learning services (such as AWS Personalise, SageMaker, S3 etc).
5-day working week, 8-hour working day, flexible schedule;
All UA public holidays are days off;
Vacation and sick leave are covered by the company;
Health care program (activated after the probation period);
Office in the city center;