Candidates 231
$4000 / mo
≈ $48000 / year net
AI Architect | AI Principal Engineer
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
team of 12 people web products
2014 - 2018 work in project management at the international level team of 15 - 17 people project management at various levels search for employees interviews conducting negotiations with customers
2018 - 2021 private practice of project management conducting mainly blockchain projects from startups to web applications for various blockchain companies working with teams of 5 to 17 people, mainly front-end (vue / react js) and back-end (go / rust / solidity) developers, devops, designers
Projects with blockchains: Elrond, Solana, Tezos, EOS, Cosmos, Cardano and Chain on Tendermint.
Working with metrics:
Product
GMV; LTV; ARPU; ARPPU; DAU/MAU; CA.
Marketing
C1; GA; SW.
$3000 / mo
≈ $36000 / year net
Data Scientist
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published today · In passive search
1. Automatization of scripts
1.1 Why?: To save time for other projects
1.2 Tools: Google_drive_Service
1.3 Result: save time from all day task to 40 min task
- Machine learning projects(clustering)
2.1 Why?: To resolve task: find patterns in array of texts(count 300k-2 billion)
2.2 Tools: NLTK, Word2Vec, sklearn
2.3 Result: makes report with patterns of text, and counts of this pattern examples
- Making module tools for work with warehouse.
3.1 Why?: to load so much data for long period of time, where disposable load doesn't work
3.2 Tools: date, datetime, timedelta, cx_Oracle
3.3 Result: script which loads so much data for long period of time
$6000 / mo
≈ $72000 / year net
Data Scientist
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published today · In passive search
- 5 years as a Data Scientist
- Before - 3+ years as a Software Engineer
Skills
- Programming (Python as a main language, had commercial experience with R, and Web development)
- Machine learning algorithms (classification, regression, clustering, topic modelling, anomaly detection, etc)
- NLP (Text processing, embeddings, texts classification and clustering), Transformers, etc
- Deep Learning using PyTorch
- Data pipelines (ETL, EDA, Data Cleaning, Models serving and monitoring)
- Experiments setup and tracking. Configurations management
- Good Data Visualisation, App prototyping skills, and Dashboards development (Data Studio, Streamlit, Shiny, Plotly, etc)
- SQL experience (MySQL, PostgreSQL, BigQuery, etc)
- Development methodologies (Kanban, Scrum). Jira and other task-tracking tool
- Git, Docker, worked within AWS infrastructure
- Labeling process setup with custom self-developed labeling tool using Active learning techniques
- Provided solution for complex Supply Chain problems with high impact on product value
- Successfull implementation of NLP approaches in Supply Chain domain
$500 / mo
≈ $6000 / year net
Sysadmin
Ukraine · Kyiv · No experience · Intermediate ·Published today
Ukraine · Kyiv · No experience · Intermediate ·Published today
$1600 / mo
≈ $19200 / year net
Data Scientist, data analyst
Ukraine · Kyiv · 6 years of experience · Pre-Intermediate ·Published yesterday
Ukraine · Kyiv · 6 years of experience · Pre-Intermediate ·Published yesterday
Уверенный пользователь ПК (покажите мне неуверенного пользователя в 2020).
Умею работать с любыми CRM и JIRA / Zendesk, kayako и другими.
Базовые навыки работы с HTML, Css. Работаю с разнообразными графическими и видеоредакторами.
Умею объяснять сложные вещи простым языком - писать обучающие тексты, снимать видео и проводить вебинары в живом времени.
- коммуникация - мое конкурентное преимущество. Люблю, умею и могу ответить на любой вопрос.
- умею быстро обучаться и легко воспринимать крупные объемы информации;
- умение организовывать работу, планировать, принимать решения - как технические так и социальные вопосы;
- стратегически и творчески мыслить одновременно - моя любимая штука;
- навыки деловой переписки (и не очень деловой), в том числе и на английском языке;
Осознанную команду, которая несёт ценность пользователям, а не закрывает задачи.
Руководителя, который будет ставить цели, а не говорить, что нужно делать.
$500 / mo
≈ $6000 / year net
ML Engineer
Ukraine · Kyiv · 6 months · Pre-Intermediate ·Published yesterday
Ukraine · Kyiv · 6 months · Pre-Intermediate ·Published yesterday
Apr 2023 - Aug 2023
Brno University of Technology | Administrative Worker
May 2022 - Aug 2022
Working with the LabVIEW program, communication with the team to create device interfaces
Feb 2020
In 2020, as a 10th grader, I wrote and defended a paper in the "Minor Academy of Sciences of Ukraine"
about the importance of using Linux distributions in schools and took 2nd place in the city in computer science.
$2700 / mo
≈ $32400 / year net
Data Scientist
Ukraine · Kyiv · 3 years of experience · Intermediate ·Published yesterday · In passive search
Ukraine · Kyiv · 3 years of experience · Intermediate ·Published yesterday · In passive search
•Skills•
ML&DS: Probability/statistics predictive analytics, classification like models, time series forecasting, data visualization, data cleaning, model monitoring.
Programming:Python (numpy, scikit-learn, pandas, xgboost, lightgbm, catboost, matplotlib, plotly), SQL(SybaseIQ, Vertica,PostgreSQL, ClickHouse ), R.
Tools: Git, AWS(Athena, S3), Docker.
please don't offer data engineer, data analyst positions
$2500 / mo
≈ $30000 / year net
Machine Learning Engineer
Ukraine · Kyiv · 2.5 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 2.5 years of experience · Advanced/Fluent ·Published yesterday
- Auto Punctuation and Capitalization Service:
Tasks: Training and evaluating models, testing pre-trained models for punctuation and capitalization, optimizing and converting models for iOS deployment.
Technologies: Python, Pytorch, transformers, ONNX, coremltools, NLTK.
- RAG System Implementation:
Tasks: Enhancing OpenAI models through prompt fine-tuning to access external APIs.
Technologies: Python, langchain, FastAPI, MongoDB, OpenAI.
CV projects:
- 3D Feature Extraction Service:
Tasks: Stereo camera calibration, depth estimation, 3D feature extraction, API creation.
Technologies: Python, OpenCV, Flask.
- Barcode Reader Plugin for NX Witness:
Tasks: Developing a real-time detection system, optimizing object detection and OCR accuracy, managing model size, and deploying software.
Technologies: Python, paddlepaddle, C++, CMake, AWS, Flask.
14 weeks program gave me in-depth knowledge of Machine Learning methods and data processing.
Introduction to TensorFlow for Artificial Intelligence
Convolutional Neural Networks in TensorFlow
Machine Learning by Stanford University
Strategies to prevent overfitting.
Data Science Fundamentals
Pattern recognition.
March AI Hackathon
CSC Hackathon
Disinformation hackathon
$1200 / mo
≈ $14400 / year net
Data Scientist
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published yesterday
On the IBM data science course worked on the rocket first stage landing prediction
Currently freelancing and searching for a full-time job
Gaining PHD
$2500 / mo
≈ $30000 / year net
Data Scientist (ML, Computer Vision)
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published yesterday
- Led the team and development time series forecasting model.
- Part of designing a remote sensing segmentation convolutional neural network (U-Net) for crop monitoring, resulting in improved accuracy and efficiency in identifying crop types and field boundaries.
- Collaborated with cross-functional teams to integrate geospatial data analytics into existing agricultural workflows, resulting in streamlined processes and improved decision-making.
- Conducted data preprocessing, cleaning, and feature engineering on large geospatial datasets to prepare them for analysis and modeling. Presented findings and insights to stakeholders in clear and actionable formats.