Position: Senior Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 6

Kaggle Competitions Expert.
Open source contributor.
Participated in various Hackathons and took prize-winning places.
Worked 1.5 years as a statistician in clinical trials.
Extensive experience with statistical tests, and A/B testing.

Worked in the machine learning domain for 4.5 years. Among completed tasks:
- Sequence labeling, text classification
- Recommender Systems
- Data processing pipelines (python, PySpark)
- Model Interpretability
- Building models (linear, boosting, etc.) and constructing features for tabular data.
- Creating pipelines for training object detectors (anchor-based and anchor-free)
- Model optimization and export to mobile-friendly formats (ONNX, CoreML, TFLite)
- Semantic search engine development and optimization
- Image classification and semantic segmentation

Kaggle competitions:
- Classification/regression on tabular data
- Multilabel text classification
- Image classification
- Semantic segmentation
- Object detection
- Metric learning
- Sound processing

Contributing to Open Source projects.
Experience in boosting Python code by switching to Cython and C/C++.
Interested in challenging Data Science projects with an opportunity to grow and potentially lead/mentor others.
Product companies or teams with experienced data scientists are preferred.