Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 5

- Master degree in Data Science
- Worked with GANs in my Master Thesis, have a strong mathematical and practical understanding of the field
Machine Learning Engineer with 5 years of the overall experience. Through different projects and working in few companies, my responsibilities were focused on prototyping new or improving existed artificial intelligence models:
- Worked with classic Machine Learning Models (Random Forests, XGBoost, Scikit-Learn, Nvidia RAPIDs)
- Experience in deep learning - used pre-trained models, custom architectures and loss functions construction
- Experience in the Image Classification, Object Detection, Object Tracking, Instance and Semantic Segmentation, 
- Experience with Deep Generative Networks (GANs, VAE)
- Experience with unsupervised methods, united it with supervised methods
- Worked with classic Computer Vision (Object tracking)
- Able to cover full data science cycle — data collection, research and development, feature engineering, testing and deploying to the production 
- Able to work both myself and in the team
- Experience working in an international team
Interesting and non-trivial tasks in machine learning, computer vision and deep learning;
Flexible working schedule;
Remote working possibility;

NOT data engineering;