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Lead Machine Learning Engineer

Our client is leading the computer vision space with advanced embedded sensing and deep learning solutions for the automotive and home environments.
Solutions range from convenient home control with the point of a finger to safer driving experiences using our vision-based driver monitoring system.

RESPONSIBILITIES:

  • Developing computer vision solutions, such as people and items detection, action recognition, etc for the in-car environment
  • Working closely with the engineering team to support the porting of the solutions to edge devices
  • Working closely with a data annotation team to support in house datasets collection
  • Porting existing state of the art models to the IR camera
  • Managing the machine learning engineering team

REQUIREMENTS:

  • MS in Computer Science or a related technical field
  • Fluency in Keras deep learning framework
  • Proficiency in Python
  • 5 years of experience with ML
  • Strong experience in face detection/tracking
  • At leas Upper-Intermediate English
  • Experience in leading the engineering team 

Will be a plus:

  • Classical computer vision (OpenCV)
  • Porting deep learning models to edge devices
  • Experience with ML/DL frameworks (PyTorch, Tensorflow, Caffe, MXNet) and knowledge of the underlying theory
  • Open source contribution
  • Profiling and optimization of the machine learning systems
  • Kaggle competition experience
  • Experience with NumPy, Scikit-learn

WE OFFER:

  • Competitive remuneration
  • Best office in Kyiv — Gulliver business center
  • 20 working days holiday
  • Medical insurance
  • Gym
  • English classes
  • Flexible working hours

Benefits

Professional & Social Events

Team Trips

Lunch & Snacks

Healthcare & Gym

Best Office in Downtown

20 Working Days Holiday

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