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

- Created numerous NLP solutions from scratch (text summarization, text tagging, information retrieval) for recruitment companies;
- Prototyped cutting edge Reinforcement Learning-powered price optimization system for large e-commerce company;
- Implemented and fine-tuned Deep Tabular Learning solution that accelerates data onboarding from various data sources into one place (AI-powered no-code platform startup);
- Optimized solutions to deploy on low-memory or low-compute instances (real-time, without GPU support).

Participated in data science competitions:
- Kaggle, 2022, Jigsaw Rate Severity of Toxic Comments. Place: 112 out of 2301 (top-5%);
- Kaggle, 2019, Jigsaw Unintended Bias in Toxicity Classification
Place: 160 out of 3165 (top-6%)
Machine Learning Engineer with 5+ years of experience in project work. Skilled in NLP, Time Series forecasting, data science, statistics and programming. Experienced in implementing various deep learning SOTA techniques and approaches from latest articles without waiting for official code release from authors. Proficient in various stages of ML/DL development, from business understanding and managing data annotation process to model deployment.
I'm looking for a position in both long-term and short-term projects, preferably related to NLP or Computer Vision. Also, I'm interested in research activity without bureaucracy to bring SOTA solutions into existing systems or create new ones.