THAT WOULD BE WONDERFUL IF YOU HAVE:
• At least Bachelor's degree in Computer Science or related field;
• At least 2 years of real-world experience in implementing data science and computer vision projects;
• Strong Python knowledge;
• Strong knowledge of classical algorithms and data structures;
• Strong knowledge in linear algebra, geometry, calculus, probability theory and statistics;
• Experience with Machine Learning libraries like NumPy, Pandas, ScikitLearn;
• Experience with NLP and Time Series forecasting;
• Practical experience with OpenCV;
• Experience in solving computer vision tasks like classification, detection, segmentation or others;
• Practical experience with at least one Deep Learning framework like Keras, Tensorflow, PyTorch;
• English - Upper-Intermediate.
WOULD BE A PLUS:
• Good knowledge and experience with some of the well-known neural networks architectures such as: Yolo, U-Net, MobileNet, ResNet, R-CNN;
Active Kaggle participation;
• Docker;
• Microsoft Azure or AWS.
ADVANTAGES FOR A CANDIDATE:
• Stable and competitive salary;
• Reporting and payment of taxes from private individuals;
• 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;
• Monthly team activities;
• 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 6-year history.
ABOUT THE PROJECT
You have a great possibility to join the project of developing AI powered navigation systems for UAVs, retinopathy etc.
OFFICE
Our company is constantly developing and creating new, modern and comfortable conditions for work in the office.
This is why it is convenient to work with us: a powerful 100 kW generator; uninterrupted Internet 24/7; equipped shelter, with the possibility of working from it; kitchen with free various goodies; recreation areas, including a second-level recreation area, a smoking balcony and a sports room; parking and access to infrastructure; stationary workplace with everything necessary etc.