Candidates 16
$5000 / mo
≈ $60000 / year net
Machine Learning Engineer
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 1 May
1.While working on a project for American clients, I developed a system for matching a user's action on the global network into separate user sessions. This solution was based on a set of heuristics, enhanced with machine learning techniques, including the use of deep learning (DL). As a result, we achieved a 20% improvement in the quality of session creation.
2) Data Scientist / ML Engineer for GetGrant | Remote, Lviv, Ukraine | 07/2022 - 01/2024
GetGrant - funding search service to businesses and researchers.
1. Developed from scratch a data collection system to provide service operations. Now our database contains about 4,000 active grants each month. I accomplished this using Python (Requests, Selenium, Playwright, bs4), then deployed the code on Google Cloud Platform and automated the system launches.
2. Enhanced the data collection system with a feature for filling gaps in collected data, significantly improving the quality of data and enabled the implementation of a grant search system with filters. For this system, I utilized a comprehensive stack of ML NLP technologies, ranging from creating if/else systems, Word2Vec, TD-IDF to models for classification, embedding generation, and questing answering, implemented using Transformer.
3. Improved the performance of our service's main search model, based on BERT technology, increasing the conversion rate to our business's additional services by 20%, thereby boosting overall profit.
4. Developed a system for enhancing/paraphrasing user search queries, improving user experience and boosting our key metrics. It is implemented based on Transformer and deployed as a web service on GCP using FastAPI.
5. Developed a system for assessing the quality of grant proposals based on a metric system I created, evaluated using GPT-4 and the OpenAI API.
6. Led a data labeling team of three people during the development of the system for filling data gaps. Gained proficiency in using Label Studio during this time.
3) DESY Winter School 2023 | Remote, Hamburg, Germany | 01/2023 - 03/2023
Study on the use of a Transformer neural network in the detection of tau leptons during a LHC reaction.
I gained a low-level understanding of the principles of the Transformer architecture (by creating a neural network from scratch using PyTorch), as well as working experience with remote servers using the terminal.
$600 / mo
≈ $7200 / year net
Data scientist
Ukraine · Kharkiv · 1 year of experience · Intermediate ·Published 29 April
Ukraine · Kharkiv · 1 year of experience · Intermediate ·Published 29 April
With a specialist's degree in Mathematics and Computer Sciences,
I have a solid foundation in the theoretical aspects of computer science, linear algebra, statistic including problem-solving, critical thinking, and algorithmic design. I possess strong communication skills, teamwork, which allow me to work well with others and effectively manage projects.
Well-organized working process is important for me.
I would like to have an opportunity for learning computer vision. Its the most desirable and main goal of my life!
$500 / mo
≈ $6000 / year net
Python Developer
Ukraine · Kharkiv · No experience · Advanced/Fluent ·Published 29 April
Ukraine · Kharkiv · No experience · Advanced/Fluent ·Published 29 April
"Corpus Linguistics" and "PYTHON FOR PHILOLOGISTS"
within the project "Student courses on digital Ukrainian philology".
Participated in the preparation of materials for the General Regionally Annotated Corpus of Ukrainian (GRAC).
$600 / mo
≈ $7200 / year net
Junior Data Scientist
Ukraine · Kharkiv · 6 months · Advanced/Fluent ·Published 24 April
Ukraine · Kharkiv · 6 months · Advanced/Fluent ·Published 24 April
Work experience
Outreach (Remotely)
Contract Data Annotator
(September 2022 - November 2022)
• Manually curated data through the review of audio datasets from unstructured sources by labelling them to define topics and speaker's reaction
ZEPS.Tech (Kharkiv, Ukraine)
Machine Learning Engineer
(July 2021 – March 2022)
• Took part in application for gesture control and drawing development (Pose estimation, Gesture recognition).
• Took part in drone with autonomous flight using tags development (ArUco & Apriltag markers detection and pose estimation).
• Developed models for Image Classification and Object Detection (Machine Learning, Transfer Learning, Object Detection, Image Classification).
$3000 / mo
≈ $36000 / year net
Data Scientist
Ukraine · Kharkiv · 3 years of experience · Upper-Intermediate ·Published 15 April · In passive search
Ukraine · Kharkiv · 3 years of experience · Upper-Intermediate ·Published 15 April · In passive search
$700 / mo
≈ $8400 / year net
data analyst or data scientist
Ukraine · Kharkiv · No experience · Upper-Intermediate ·Published 14 April
Ukraine · Kharkiv · No experience · Upper-Intermediate ·Published 14 April
My desire to develop in the field of Data Science/Machine Learning lies in applying my knowledge to real-world projects. I dream of becoming part of a team where I can contribute to the development and implementation of machine learning algorithms. My goal is to continually improve my skills, master new technologies and methods, in order to become an expert in this field and achieve high results in team work.
Additionally, I have successfully completed several courses in machine learning and Data Science, including the renowned course from DataRoot University, "Data Science Fundamentals." This course provided me with a profound understanding of key concepts and methods in data analysis and machine learning, enriching my knowledge and practical skills in this field.
My achievements demonstrate my serious approach to learning and my continuous readiness to develop in the field of Data Science. I am open to new challenges and eager to contribute to any interesting projects in this area.
As for what I don't want, I wouldn't want to work in an environment where there is no opportunity for personal development or where monotonous routine work dominates without room for creativity and skill enhancement.
$2500 / mo
≈ $30000 / year net
Data Scientist
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 12 April · In passive search
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 12 April · In passive search
•Has been working with Pepsi (PBNA) during a considerable period of time. Developing multiple models across several categories and in 5 different divisions.
•Data analysis & pre-processing, creating required features for the modelling along with doing exploratory data research, creating a statistical model in python and fine tuning it.
•Contributed to deriving insights from the final result set and communicating the same internally and to client.
•Some Data Engineering in Google Cloud environment, in particular experience with BigQuery.
- An online course on Natural Language Processing with Classification and Vector Spaces by
DeepLearning.AI.
- An online course on Econometrics by Coursera.
Курс від Sigma:
An online course on Python programming. Intensive by Sigma Software University.
Результатом проходження курсу є:
A web application dedicated to collecting and analyzing the data retrieved from the Alpha Vantage resource with extensive graphical display functions (graphs, tables, etc.) powered by DASH Framework.
А також проходження курсу Data Science Fundamentals by DataRoot Labs.
$1200 / mo
≈ $14400 / year net
Machine Learning Engineer
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 11 April · In passive search
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 11 April · In passive search
Technologies used:
Python
Pytorch
TensorFlow
Google Colab
Amazon S3, EC2
LSTM
CNNs
CLIP
VQGAN
Dall-E mini
Diffusion models
Responsibilities:
Collection, cleaning, processing and analysis of new and existing data sources
Model architecture selection and model training
Work results presentation
Training project on .Net platform
Technologies used:
C# programming language,
ASP.NET Core,
LINQ to SQL,
MS SQL Server,
HTML,
CSS,
JavaScript.
Responsibilities:
Developing functionality,
Participating in code review.
Master thesis: Action recognition in sports videos
Technologies used:
Python programming language,
Tensorflow,
Numpy,
Recurrent neural networks,
Convolutional neural networks
Responsibilities:
Data processing (Data augmentation, Dealing with class imbalance)
Build and train models for action recognition in sports videos,
Assess quality of models
Graduate work: Time series forecasting with neural network and statistical methods
Technologies used:
Python programming language,
Tensorflow,
Pandas,
Numpy,
Matplotlib,
scikit-learn,
Responsibilities:
Building a model,
Data processing,
Model's quality estimation
$300 / mo
≈ $3600 / year net
Junior ML Engineer
Ukraine · Kharkiv · No experience · Intermediate ·Published 5 April
Ukraine · Kharkiv · No experience · Intermediate ·Published 5 April
new places, immersing myself in literature, and capturing special moments, I bring a unique perspective to my work. Seeking a position as an ML Engineer to utilize my skills and passion in a dynamic and challenging environment.
$2100 / mo
≈ $25200 / year net
Data Scientist / Machine Learning Specialist
Ukraine · Kharkiv · More than 10 years of experience · Upper-Intermediate ·Published 2 April
Ukraine · Kharkiv · More than 10 years of experience · Upper-Intermediate ·Published 2 April
I've a good soft skills and extensive experience in communication with representatives of business, administrative institutions, science, as well as ordinary employees and top managers of companies working in various fields and areas.
Extensive experience in working with data and machine learning, as well as practical analysis of business processes and projects allow me the following:
• to design and implement data models in Python with Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, etc.
• to work effectively with machine learning models (data preprocessing, regression, classification, clustering, learning association rules, reinforcement learning, natural language processing, deep learning, dimensional reduction, model selection and upgrade, etc.)
• to find creative solutions to deep/machine learning problems
• to develop visions and concepts of technological solutions
• to develop effective technological approaches, models and methods
• to manage, optimize and evaluate business processes and projects
• to develop financial and economic models
The knowledge and experience gained over the years of work help me to freely navigate in various business systems and quickly find effective solutions to complex problems, as well as to propose, substantiate and develop the methods and technologies for their implementation.
The main goal that I set myself when solving a problem is to implement an integrated approach from concept development to a real product that “can be felt with my hands”.
With the ability and skills to achieve the goals on my own, I mostly consider myself as a team player
Data science and machine learning: Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, Flask, Flask extensions, Requests, BeautifulSoup / CNN, RNN, GAN, AIS, DarkNet, MIDAS, YOLO, UNET, (S)ARIMA, BERT, Transformers, LSTM
Business analysis
Both waterfall and Agile: SAFe, Scrum and Kanban
Familiar with any Trackers and Management tools - MS Project, Spider, Merlin, Jira + Confluence
All around Understanding of SDLC, XML, SQL, BPMN, UML notation and CASE- tools, UX/UI design, API, BDD + Gherkin, Web
Skills of converting business visions to POCs' & MVPs' scopes
Able to work with large volumes of information
ANN, CNN, RNN,GAN, UNet, DarkNet, AIS, MIDAS, DarkNet, NLP, (S)ARIMA, OpenCV, BERT, Transformers, LSTM-RNN,,etc.
Collect, analyze, and visualize data
- 1(current)
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