Candidates 24
$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.
$4500 / mo
≈ $54000 / year net
Data Engineer
Ukraine · 4 years of experience · Intermediate ·Published 30 April · In passive search
Ukraine · 4 years of experience · Intermediate ·Published 30 April · In passive search
Python, Django, django-rest framework, PySpark, ETL, pandas, scikit-learn, Postgres, MySql
Machine learning algorithms(linear, logistic regression, decision trees, etc.)
Linux, bash, Docker, CI/CD, Jenkins
General responsibilities:
tech-group lead, code-review, knowledge management
$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).
$8000 / mo
≈ $96000 / year net
Chief (Lead/Senior) Data Scientist, Senior Project Manager, Senior Business Analyst, COO, CSO, CPO, CMO, CDO, CAO, R&D (AI + BI + Any (Not Only IT) Business + PhD)
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 29 April
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 29 April
C-level: Chief Operating Officer, Chief Financial Officer, Chief Strategy Officer, Chief Performance Officer.
S-level: Senior Project Manager, Senior Business Analyst, Senior (Lead) Data Scientist.
Worked with Team members from: Ukraine, Russia, USA, UK, Germany, Turkey, India, China, Belarussia.
Projects: Antonov, MoSi GT Engines, ERP (SAP ERP R/3, MS Axapta, MS Navision, QuickBooks EE, Sage Line 50, all 1C), BI (SAP BO, Dundas, PowerBI, BIStudio, IBM Cognos BI, Tableau, Qlick), many CRM Software, AI & Data Science (Business Statistics, DS & ML for Business (Management, Marketing, Sales, Distribution), Text Mining, NLP, Recommendations Systems, Fraud Detection, Clinical Trials and Diagnostics, Drugs Development, Games Analytics, Computer Vision, Deep Learning, Object Detection, Text Recognition from Images in CV, SparQL, Geolocations from main Geocoders, 3D Modelling, R, Python, SPSS, MiniTAB, SAS, JMP, OriginPro, Statsgraphics), Digital (On-line) Marketing, Web Development, Developers and Teams Performance Management and Code Metrics.
For serious companies and projects ready to use main 60 project management forms from PMI (PMBOK 6) in PDF or Word. Also ready to use dozens of BOKs (not only BABOK and PMBOK as any BA and PM). I have hundreds of books in English in Data Science, Project Management (including Agile (SCRUM - Kanban - Scrumban - SAFe - LSS)) and Business Analysis.
Education: Higher Technical and double Higher Economical.
Scientific Degree: Ph. D., twice Post-Graduate (Engineer & Economics).
Ready to work as: CFO, COO, CPO, CMO, SPM, SBA, SDS.
The Data Scientist's work is to analyse and to mining collected data and to develop the data models, the Data Engineer's work is to collect data from various sources for Data Scientist's analysis. Data collecting must not be confused with the data analysis and mining, how it is done in Ukraine. Data Scientist IS NOT! equal Data Engineer. Data Engineer works for Data Scientist.
For foreign companies and developers teams ready to establish your IT Development Department in Ukraine (Kharkov).
Repeatedly managed Data Science Teams Members with PhD.
Scientific interests are: management, modern inductive logic, causality, evidence, philosophy of science, control systems, system analysis.
$600 / mo
≈ $7200 / year net
Junior Python Developer
Ukraine · No experience · Intermediate ·Published 25 April
Ukraine · No experience · Intermediate ·Published 25 April
$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).
$2700 / mo
≈ $32400 / year net
Software Engineer
Ukraine · 3 years of experience · Upper-Intermediate ·Published 23 April
Ukraine · 3 years of experience · Upper-Intermediate ·Published 23 April
1. eCommerce solution.
Implemented several features to allow customers use Point of sale credit (payment method) in online store, improved credit eligibility application journeys. Fixed bugs. Provided small enhancements. Implemented unit, integration, pact tests.
2. Digital hubs management system.
Migrated code for all endpoints related to hubs from .NET C# to Java. The main difficulty was that the code was written very poorly, because of this I was able to increase the ability to understand such very bad code.
3. Digital assets management system.
Implemented a feature to search for digital assets IDs based on provided .xls file with links to digital assets (Backend and UI) which made it easier and faster for users to search for required digital assets. Migrated SOAP endpoints to REST in aim to make the API of the system uniform and lightweight. Covered most of the code I added with unit and functional tests. Provided small improvements like disabling Postman in production.
Technologies: Java, Kotlin, JavaScript, Spring Framework, GCP, Kafka, Git, Docker, Maven, Gradle, SQL, JDBC, JOOQ, Mockito, REST API, Jira.
Current role: Java developer, an eCommerce platform researcher.
Want to develop comprehensively back-end skills from databases to cloud.
Participated in mentoring Java preproduction students.
Passed GCP PCD exam on the first try.
$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.