Candidates 22
$500 / mo
≈ $6000 / year net
Junior Data Scientist
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 2 May
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 2 May
• “Spacer”
Replaces people on the video with images of space in real-time. For this project I had to implement and train U-Net model from scratch.
Tech stack: PyTorch, OpenCV, NumPy, Pandas.
• "Avtobazar web parser"
Gathers the data about cars that are being sold (price, location, color etc.) from popular Ukrainian car marketplace.
This project consisted of two stages:
1. Gathering the data with self-programmed web parser.
2. Cleaning the data to be suitable for analysis.
Tech stack: BeautifulSoup, Requests, Asyncio, Aiohttp, Pandas, NumPy, Googlesearch, Translate.
• “Fake News detector”
The project aimed to train LLM (RoBERTa) to recognize unreliable (fake) texts. My work consisted of selecting a model for classification, data cleaning, and fine-tuning the model (writing scripts for fitting, validation, training, visualization of results, etc.).
Tech stack: PyTorch, Transformers, Pandas, NumPy.
Have experience with:
- Python (NumPy, Scikit-learn, Pytorch, matplotlib, etc.).
- Handling relational database management systems, such as MySQL.
- Version control tools, such as Git.
- Graduation with honors from ML course, Hillel IT School.
- English language proficiency level: high B2 - C1.
- Solid theoretical understanding of ML algorithms.
- Good knowledge of calculus, linear algebra, probability theory, and statistics.
$500 / mo
≈ $6000 / year net
Intern Data scientist
Ukraine · No experience · Upper-Intermediate ·Published 2 May
Ukraine · No experience · Upper-Intermediate ·Published 2 May
I participated in a team project at the IASA Champ '24 student hackathon, where our team reached the finals due to developing an innovative solution for a current problem: UI screen representation for better accessibility of MacOS apps. Throughout the hackathon, we actively utilized [mention technologies, tools] which allowed us to effectively implement the project and demonstrate a high level of technical skills, creative thinking, and the ability to work under stress.
$6000 / mo
≈ $72000 / year net
Data Scientist, NLP Engineer, Research Engineer, Machine Learning Engineer
Ukraine · 4 years of experience · Upper-Intermediate ·Published 1 May · In passive search
Ukraine · 4 years of experience · Upper-Intermediate ·Published 1 May · In passive search
- 2022-now - Senior Machine Learning Engineer at the R&D department of an American multibillion-dollar startup. End-to-end work (from EDA to implementation and productionization of bleeding-edge deep learning algorithms) on natural language understanding problems for real-time conversational intelligence product.
- Founder/Lead Researcher for the Conversational AI project since 2019. Team management, dialogue system architecture design along with building pipelines for various NLU tasks.
- 2018-2019 - Full Stack Developer at freelance.
Education:
- 2023-now - Ph.D., Software engineering.
- 2021-2022 - MS, Software engineering, diploma with honours.
- 2017-2021 - BSc, Software engineering, diploma with honours.
Сertificates:
Specialization: Mathematics for data analysis - HSE
Huawei: Seeds for the Future 2020
Specialization: Deep Learning - Deeplearning AI
Introduction to machine learning - HSE&Yandex
Publications:
MIT-2022 - Increasing the Performance of the Multilingual Language Model with FNet Architecture
ICST-2021 - Natural Language Processing for Intelligent Virtual Assistant System
MIT-2020 - Multilingual Open-Domain Question Answering Model
1st place in R&D program organized by the venture fund
$450 / mo
≈ $5400 / year net
Data Analyst
Ukraine · Odesa · No experience · Intermediate ·Published 1 May
Ukraine · Odesa · No experience · Intermediate ·Published 1 May
$3100 / mo
≈ $37200 / year net
Senior Python Engineer
Ukraine · Odesa · 4 years of experience · Intermediate ·Published 30 April
Ukraine · Odesa · 4 years of experience · Intermediate ·Published 30 April
Programming Languages: Python, Java, C/C++, C#, SQL, JavaScript
Frameworks and libraries: Django, Flask, FastAPI, asyncio, aiogram, NumPy,AIOHTTP, HTTPX, Pandas, Celery, SQLAlchemy,Celonis, PyTorch, PyQT, Selenium, Spring, Angular
RDBMS: PostgreSQL (preferable), MySQL, SQLite
Non-RDBMS: Redis, MongoDB, Cassandra
Cloud Platforms: AWS, GCP
Server utils: Gunicorn, Uvicorn
DevOps tools: Docker, Grafana
Development Tools: Git, PyCharm, DBeaver, Postman, VSCode
VCS: GitLab, GitHub, Bitbucket
Bug-tracking systems: Jira, ClickUp
$500 / mo
≈ $6000 / year net
Data Scientist
Ukraine · Odesa · No experience · Intermediate ·Published 29 April
Ukraine · Odesa · No experience · Intermediate ·Published 29 April
$5000 / mo
≈ $60000 / year net
Machine Learning Engineer
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 28 April
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 28 April
The biggest part of my work was done in the field of CV. The performance and the size of DL models have always been the most important part.
Developed segmentation, classification, and object detection solutions for PDF Expert and ScannerPro, which run in production. One of the key ScannerPro algorithms was reinvented by my initiative. Also custom lightweight YOLO-like and UNet-like models were built from scratch using Keras. Another big task was to reinvent the pen-annotation tool algorithm for PDF Expert using computational geometry. Additionally, I conducted research in the field of NLP for Spark. Read DL course for Readdle employees.
Freelance project, December 2017 — February 2018
Implemented approach from “Attention is all you need” for machine translation using numpy and tensorflow, as a part of the project for translation web-service.
Autobrains.ai — Deep Learning Engineer, January 2022 — July 2023
Implemented from scratch SOTA lane detection algorithm(2105.13680) using PyTorch.
As a part of the object detection team, trained and evaluated models for different object detection tasks on a daily basis.
Implemented solution for sub-classification task on the intersection of classification, object detection, and transfer learning fields.
Work on an internal auto-labeling tool using big object detection networks, transfer learning and custom approaches for 3D configuration detection of vehicles. Worked with mmdetection.
I have BS and MS degrees in applied physics and math.
- Created a detection algorithm for the PDFExpert macOS app with 100% accuracy.
- Created a custom object detection solution that meets KPIs even with a very small dataset for an autonomous vehicle task.
- Implemented the "Attention Is All You Need" paper for a freelance project back in 2017.
$1000 / mo
≈ $12000 / year net
Data Analyst
Ukraine · 2.5 years of experience · Intermediate ·Published 20 April · In passive search
Ukraine · 2.5 years of experience · Intermediate ·Published 20 April · In passive search
$600 / mo
≈ $7200 / year net
Junior Data Analyst
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 16 April
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 16 April
$500 / mo
≈ $6000 / year net
Data Scientist
Ukraine · 1.5 years of experience · Upper-Intermediate ·Published 12 April
Ukraine · 1.5 years of experience · Upper-Intermediate ·Published 12 April
Також є досвід роботи с моб. звя`зком та нерухомiстю (оцiнювальнi системи) kaggle та бенч
P.S. Основний досвiд С++/python розробник рiвня middle+, але переспеціалізувався у DS