Candidates 4
$1000 / mo
≈ $12000 / year net
DL/ML Engineer (Data Scientist)
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 19 April
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 19 April
Full-time · 6 mos
Data Engineer at NDA
Feb 2024 - Present · 3 mos
On-site
Labeling of training datasets for neural networks.
C++ / Python Developer at Acade
Jan 2024 - Feb 2024 · 2 mos
On-site
I made educational materials and tasks for an educational platform to deepen knowledge of information technologies and programming.
Data Engineer at Jasnah
Nov 2023 - Jan 2024 · 3 mos
On-site
Solved algorithmic and business problems in C++ to create and train artificial intelligence. Detailed explanation of how sections of code work and documentation.
I pursued a Master's degree in Computer Science at Ukrainian State Chemical Technology University.
$1500 / mo
≈ $18000 / year net
Data Scientist
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 5 April
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 5 April
Developed machine learning models using Scikit-learn (LightGBM, Logistic regression, Random Forest ...) for classification and regression tasks.
Applied transfer learning techniques using PyToch to adapt pre-trained model to specific tasks.
To have the chance to advance in the company.
$600 / mo
≈ $7200 / year net
Junior Data Scientist
Ukraine · Dnipro · No experience · Advanced/Fluent ·Published 6 March
Ukraine · Dnipro · No experience · Advanced/Fluent ·Published 6 March
$500 / mo
≈ $6000 / year net
Junior ML engineer
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 4 March
Ukraine · Dnipro · 6 months · Upper-Intermediate ·Published 4 March
Technologies: Tensorflow, PyTorch, OpenCV, Keras, scikit-learn and base ML libraries. I used R&D approach for almost all projects to achieve highest result.
Skills:
Language: Python, SQL, basic knowledge: C++, C#, HTML, CSS, JavaScript, SQL. Basic knowledge in QA
Database: PostgreSQL, MySQL.
General: probability theory, statistics,math analysis.
ML approaches: data mining, error analysis, feature extraction, metrics selection and evaluation, data preprocessing and analysis, techniques for prevent overfitting, transfer learning, dataset preparation, model optimization and testing.
Education: Bachelor degree at Dnipro National University, faculty of Applied math.
I am interested in R&D development and MLOps.
One of the most interesting project is developed a neural network system that can generate musical spectrograms in different genres based on the emotion class contained in a user request. This project was difficult and interesting to develop, due to advanced technology as GAN. Project was developed as a diploma and published in two scientific conferences.