Передусім, Київстар — це український телекомунікаційний оператор, послугами якого користується понад 26 млн абонентів. Київстар входить до складу міжнародної групи VEON Ltd, офіс якої знаходиться у Нідерландах. Акції Групи торгуються на фондових біржах NASDAQ, Нью-Йорк та Euronext, Амстердам.
25 мая 2020

Data Engineer (Machine Learning)


Необходимые навыки

• 3+ years of experience in software development
• Strong knowledge of CI/CD principles
• Experience with deploying ML models to production
• Experience with programming in Python or Scala for Apache Spark
• Experience with Spark ML and Python ML libs
• Experience in test-driven development and integration testing

Будет плюсом

• Experience with Docker
• Experience with Apache NiFi
• Familiar with Hortonworks or Cloudera distributions


• A unique experience of working for the largest and most beloved mobile operator in Ukraine;
• Real opportunity to ship digital products to millions of customers;
• A competitive salary;
Annual bonus
Paid sick leave and vacation
Financial aid in different life situations
Possibility to work remotely at regular intervals
Flexible working hours
• Medical and life insurance;
• Great possibilities for professional development and career growth;
• Friendly & Collaborative Environment.


• Develop ETL processes for ML pipelines
• Automate models deployment
• Setup and configure model quality monitoring
• Develop automatic model refresh procedures to avoid “staleness”
• Optimize Python/Spark code

О проекте

Within the digital transformation strategy, Kyivstar is investing resources into the development of a data management platform (DMP) based on BigData technologies, the Hadoop ecosystem and cloud computing platforms.
One of the areas of development is the elaboration and the implementation of products for internal and external customers using big data and machine learning technologies. So we are looking for a team of DataScientists — experts in the field of machine learning and analytics with practical skills in MLpipelines development using OpenSource tools.