Applied mathematician – ML programmer in Julia

Vacancy Job Type: Part time with fulltime perspective 

Modality: Remote work

Professional requirements for the candidate:

  • Profound knowledge of mathematical statistics, machine learning, applied mathematics
  • Experience as a programmer C ++ or Python for at least 2 years
  • Willingness to develop applications in Julia v.1.0 programming language
  • Use of Intel ParallelAccelerator, QT5 for Julia, TensorFlow, MS Cognitive Toolkit, etc
  • Good working knowledge of Linux, docker, bash, svn, git
  • Good knowledge of English or Russian for communications and documentation

Requirements for personal qualities:

  • Attentiveness, punctuality, non-contentiousness
  • Ability to self-organization during remote work, planning the tasks
  • Constructive and demanding work pattern to achieve high quality software products and work efficiency
  • Analytical mindset, responsibility


  • Development of software automation components in distributed processing system
  • Design and implementation of new modules on Jilia 
  • Converting and optimization of some system modules from C ++ to Jilia language
  • Implementing system functions using Machine Learning Frameworks Microsoft Cognitive Toolkit, TensorFlow, R Server AZURE, etc.
  • SW integration with parallel processors (Edge TPU, NVIDIA, etc.)
  • Writing unit tests to already existing code (with modification for testability), as well as to newly written functions.
  • Close interaction with software developers

Working mode:

  • Remote work part time upon the agreement, in full time mode: ~ 40 hours per week, ~ 160 hours per month.
  • Throughout the working time to be in the chat.
  • Daily working hours & task management, description of the work performed.
  • Place of residence does not matter
  • Working languages in the team: English, Russian