Data Scientist / Machine Learning Engineer

з/п не указана

Требуемый опыт работы: 3–6 лет

Полная занятость, полный день

We are looking for Data Science / Machine Learning Engineer to develop new recommendation models and to improve our search engine performance.

  • Optimizing and developing components of AE search engine;
  • Optimizing and developing recommendation algorithms;
  • Leverage other machine-learning models useful for international e-commerce platform.

We build an international team, and English is the business language in our Moscow office.

Requirements:

Preferred Qualifications

  • Ability to implement, research and improve search and recommendations algorithms.
  • Solid knowledge in ML theory, mathematical statistics, data mining.
  • Experience with common data-processing engines and storages - Hadoop, Spark, and such.
  • Possess good communication, cooperation, planning, execution capacity, strong responsibility and excellent learning capability
  • Able to communicate in English at work

Highly desirable skills (in one or more of the following areas)

  • Experience with natural language processing technologies
  • Experience with Deep learning
  • Experience with Reinforcement learning
  • Using real-time data for models retraining and inference
  • Familiar with modern open-source ML tools, such as TensorFlow, PyTorch, Numpy and such.
  • Programming skills with Java, Kotlin, or C++
  • Understanding of GPGPU computation concepts
  • Chinese language skills will be a great plus

Conditions and Benefits

  • Work for one of world's biggest IT companies, in Russia, without cross-border relocation International, young, and very professional engineering team
  • Comfortable office in Moscow City
  • Competitive salary
  • Mac or Windows laptop of your choice
  • Corporate medical insurance

Ключевые навыки

Data Mining
Data Science
Machine Learning
Hadoop
Spark
TensorFlow
PyTorch
GPGPU
Математическая статистика
Numpy
Java
C++
Python

Адрес

Москва, Пресненская набережная, 10блокС
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Вакансия опубликована 10 ноября 2021 в Москве

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