THAT WOULD BE WONDERFUL IF YOU HAVE:
- • 2+ years of experience in Computer Vision
• 2+ years of experience in Data Science / Machine Learning
• Strong Python skills
• Experience with any of the following: Google Cloud, AWS, Azure
• Hands-on experience with computer vision libraries
• Experience with deep learning frameworks (PyTorch or similar)
• Understanding of object tracking/detection approaches (classical + NN-based)
• Experience working with image/video data (preprocessing, dataset creation, augmentation)
• Solid understanding of model evaluation and benchmarking
• Hands-on experience with model optimization for edge deployment
• Understanding of real-time or near real-time systems
• Upper-intermediate english
WOULD BE A PLUS:
• Experience with C/C++ or Rust
• Experience with Linux-based systems
• Experience with SLAM
• Experience with robotics, control systems, or sensor-based systems
• Familiarity with edge devices (e.g., NVIDIA Jetson, Raspberry Pi)
• Experience with simulation environments
RESPONSIBILITIES:
• Research and implement image and video processing algorithms using both classical and deep learning approaches
• Benchmark and evaluate models across different scenarios and datasets
• Work with video data to create and refine datasets for training and validation
• Develop and improve processing pipelines for real-time performance
• Analyze system behavior in real-world and simulated scenarios to identify issues and improve performance
• Collaborate with engineering teams to integrate solutions into real-time systems
ADVANTAGES FOR A CANDIDATE:
• Stable and competitive salary;
• Legally compliant gig contract with official tax reporting and payment;
• Work in a cool & experienced team;
• Useful & exciting projects;
• Up to 26 Days Off per year at your convenience;
• Convenient office in Vinnytsia or an opportunity to work remotely;
• Corporate culture with maximum automation of processes;
• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program
• Excellent opportunities and prospects for professional growth in a company with a 9-year history.