Position: Machine Learning Engineer
Category: Data Science
English level: intermediate
Years of experience: 1

1. Spotify Lyrics analysis, explicit content identifier using simple tf-idf and Random Forest algorithm
2. Stylometry research
Machine Learning Engineer with 1 year of the overall experience. My responsibilities were focused on prototyping new or improving existed models:
- Natural Language Processing (classification, sentiment analysis, NER, Text Generator using GPT-2, Summarisation)
- Worked with classic Machine Learning Models (Random Forests, XGBoost, Scikit-Learns )
- Experience in deep learning - used pre-trained models, custom architectures and loss functions construction
- Experience with unsupervised methods, clusterization and anomaly detection
- Able to cover cycle — data analysis, research and development, feature engineering, testing and deploying to the production
- Able to work both myself and in the team
Preferably, I want to become a part of professional command in NLP product/projects/researches.

Interesting and non-trivial tasks in machine learning and deep learning;
Flexible working schedule;
Remote working possibility;

NOT data engineering;