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Senior ML/Computer Vision Engineer (part-time) 

Ukraine | Lviv, Chernivtsi, Ivano-Frankivsk Office, Remote

We are looking for an ambitious and motivated Senior ML/Computer Vision Engineer to join product development for our client from the USA.  
This platform aims to create a service that will perform object detection on the road. The service will identify various objects and conditions encountered during a trip and send appropriate notifications about these detections. The goal is to enhance road safety and provide real-time information to users about potential hazards or important events that occur while driving. 

Requirements: 

  • Strong Machine Learning Background: Deep understanding of various machine learning algorithms such as CNN, RNN, LSTM, Transformer, and Reinforcement Learning. Proven experience in end-to-end training of deep-learning models 
  • Project Experience: Hands-on experience with modern deep learning frameworks like Pytorch and Tensorflow 
  • Computer Vision Expertise: Proficiency in applying computer vision techniques 
  • Programming Skills: Proficient in Python and Linux. Additional knowledge of C++ and CUDA is a plus, along with experience using AWS 
  • Mathematical Foundations: Solid grasp of Linear Algebra, Optimization, Statistics, and Algorithms 
  • Python Development Ecosystem: Familiarity with libraries such as OpenCV, NumPy, SciPy, pandas, and scikit-learn. Comfortable with development in both Linux and Windows environments 
  • English level – Upper-Intermediate or higher 
  • Team-work attitude with great communication skills 

Responsibilities: 

  • Working on datasets for models, including data collection, cleaning, and preparation. 
  • Writing, refining, and training machine learning models to achieve optimal results. 
  • Building benchmarks to review and analyze model results. 
  • Working on expanding object detection capabilities, including adding new object classes and improving accuracy. 
  • Performing other project-related tasks that may arise during work. 

We offer friendly working conditions with competitive compensation and benefits including: 

  • Comfortable working environment 
  • Friendly team and management 
  • Free English classes 
  • Flexible working hours 
  • 100% paid vacation, 4 weeks per year 
  • 100% paid sick-leaves 
  • Medical insurance (50% is paid) 
  • Corporate and team building events