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Junior AI/ML Engineer

Местоположение и тип занятости

Санкт-ПетербургНеполный рабочий день


Один из крупнейших производителей и поставщиков телекоммуникационного оборудования

Описание вакансии

Условия работы

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

The team you’ll be part of

Our Business Group is a leader in wireless mobility networks and associated services. With more than 3.500 patent families essential for 5G we have a strong 5G portfolio and are a front runner in open and virtualized radio access networks (O-RAN and vRAN).
Read more about our technologies in our unofficial channel of Nokia R&D center.

You will be a part of scrum team developing and testing of software with implementation of Machine Learning algorithms for LTE/5G Base Stations.

What you will learn and contribute to

  • You will have the opportunity to study and become an expert in telecommunications and particularly in LTE and 5G technologies.
  • Development and testing of software with implementation of Machine Learning algorithms for LTE/5G Base Stations.
  • Your main responsibilities will be referring to defining, training and verification of the models, finding possibilities for optimization and improvement, implementation of those.

What we offer

  • Flexible working hours, 20-40 hours per week.
  • Fully remote work (at least in 2021).
  • Competitive salary and Voluntary health insurance.
  • Contribution to real and commercial projects of the company.
  • Opportunities for education and professional growth.
  • English courses.
  • Ability to write term papers and graduation work.

Your skills and experience

You have:

  • Undergraduate students in Computer Science (or similar).
  • Basic level knowledge of Machine Learning algorithms / statistics/ data processing.
  • Python programming skills.
  • Experience with ML libraries – pandas, numpy, etc.
  • Technical English.
  • Ability to work in teams, good communication skills.
  • Readiness to learn.

Nice to have:

  • Knowledge of Big Data technologies (Hadoop, Spark, Storm, etc.).
  • Deep knowledge of ML algorithms and neural networks.
  • C/C++, Java/Scala/Javascript programming skills.
  • UNIX user skills.
  • Fluent English.
  • Git/version control systems.