Position: Senior ML Engineer
Category: Data Science
English level: upper
Years of experience: 3


Product-oriented Machine Learning Engineer

As most of my commercial experience is related to the NLP, I have deep expertise in this field. Covered a variety of directions such as:
- sentiment classification;
- domain adaptation;
- dialog intent retrieval;
- aspect extraction;
- text ranking;
- text query clustering;
- topic modeling;
- information retrieval;
- cross-language transferring as well as multilingual learning;
- multitask learning;

In addition to the data science experience, worked as a developer integrating my models and think that it's an essential skill for any ML engineer, thus focus on the quality of development a lot.

Believe that one more crucially important skill of the data scientist - the ability to understand the business task and purpose just efficient approaches.

My stack is:
- PyTorch (experienced with the conversion from TensorFlow to PyTorch and vice-versa, TF-JS conversion), Transformers, Weights&Biases, MLFlow, SpaCy, FastText, Gensim, Scikit-Learn, etc.
- Flask, Docker, Linux, Git.
- Certified AWS Solution Architect.
The job where I can use my experience to solve business problems impacting product development and company growth as well as gain new experience and learn new areas.