Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 2.5


Research and development of a sound event detection system in a healthcare project: dataset collection and labeling, SED model design, training and evaluation, metrics design and experiment tracking. 
Development of a content recommendation system for an educational platform: defining of business objectives, data preprocessing and feature engineering, combining user-based and content-based recommendations, building model pipeline using PySpark, metrics and experiment tracking implementation.

Research, development and deployment different approaches for content watermarking using deep learning architectures such as encoder/decoder, GANs etc; designing loss functions for better model quality; metrics implementation and calculation.

Bot detection task in Instagram using pre collected client’s dataset: dataset markup using clasterization, data preprocessing and binary classification with tree-based algorithms and deployment on client’s server.
I'd like to work in a professional team with a lot of possibilities for growth either for me and for the project. I'm interested in different fields of signal processing, especially in sound processing, also i'd love to work if the field of recommendation systems development.