Для кандидатів
Українська
English
Українська
Русский
No elements found. Consider changing the search query.
List is empty.
Увійти
Навчання
Курси
Відібрані
Вакансії
Швидкий
CV Builder
Local
Meetups
Навчання
Курси
Зареєструватись
Відібрані
Вакансії
Подати заявку
Швидкий
CV Builder
Створити CV
Local
Meetups
Знайти або створити
Головна
Вакансії
Пошук вакансій
4
знайдено
Очистити фільтри
Спеціалізація
Data Engineering
Data Science & AI
Front-End
Human Resource (HR)
Python
Scala
Формат
Full-Time
Internship
Remote
Місто
Kyiv
Київ
Застосувати
4
знайдено
Ред. фільтр
Junior IT Recruiter
DataRoot Labs
Обов'язково:
approximately 1 year of experience as a Junior Recruiter (tech vacancies);
Able to analyze information and find unique and creative solutions to sourcing; to create sourcing strategies;
Ability to present our company and open roles to potential candidates effectively;
Strong self-organizational, interpersonal and negotiation skills;
Hands-on experience with Applicant Tracking Systems (ATS) - we use CleverStaff, Lever.
Ability to create rapport with candidates, colleagues and hiring managers;
Good verbal and written communication skills in English.
Scala Developer
DataRoot Labs
Обов'язково:
1-3 years of hands-on experience in Scala development.
Understanding of functional and OOP designs.
Working experience with PostgreSQL.
Strong knowledge of Akka Actors, Akka Http, and Akka Streams libraries.
Understanding of REST API concepts.
At least Intermediate English level.
Data Engineer / Scala Dev
StackTome
Обов'язково:
Able to code in Scala.
Understanding ELT design, implementation and maintenance.
Able to communicate complex concepts clearly and accurately.
Willingness to learn new technologies, tools and approaches to problem-solving.
Responsible for own work and able to solve problems independently.
Machine Learning Engineer
uData School
Обов'язково:
4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
Deep knowledge of statistics, probability theory and ML.
Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).
Сторінка 1