Candidates 27
$1500 / mo
≈ $18000 / year net
Data Scientist / Analyst
Ukraine · Lviv · 2 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Lviv · 2 years of experience · Advanced/Fluent ·Published today · In passive search
- Performed clean-up of data from various sources.
- Conducted ETL processes, created and managed relational databases.
- Automated data visualization routines.
- Analyzed and reported insights using Tableau.
- Enrolled in MSc Data Science program at Ukrainian Catholic University.
$2000 / mo
≈ $24000 / year net
Machine Learning Engineer
Ukraine · Lviv · 2 years of experience · Intermediate ·Published 22 April · In passive search
Ukraine · Lviv · 2 years of experience · Intermediate ·Published 22 April · In passive search
• Machine Learning: Scikit-learn, CatBoost, XGBoost, LightGBM, Optuna, FEDOT;
• Deep Learning: PyTorch, Keras, TensorFlow, OpenCV, huggingface, RASA;
• GIS: QGIS, rasterio, shapely, geopandas, Planet API;
• Development: Python, SQL, git, Docker, Flask.
Experience:
Data science engineer.
Jan. 2022 - now (2+ years)
1. UAV Image Processing and Analysis:
• Involved in the development of UAV control, image processing and analysis services.
• Utilized machine learning and computer vision techniques to extract insights from aerial imagery.
2. Geospatial Data Analysis with Computer Vision:
• Built computer vision services for geospatial data analysis.
• Focused on tasks like classification, semantic segmentation, object detection, and image matching, primarily for the agricultural sector.
3. Natural Language Processing (NLP):
• Conducted research and training of language models for NLP tasks, including sentiment analysis, Q&A, NER, intent classification, and slot filling.
4. AI Urban Management Tools:
• Collaborated on the creation of AI-driven urban management solutions.
• Applied classical machine learning and statistical methods to support urban planning.
Qualification work in the field of convolutional neural networks for generating the physical characteristics of materials; optimizing the structural parameters of structures.
Research articles on the visualization of multidimensional spaces, structural optimization, fault detection, mathematical methods of structural analysis.
Engineer researcher in the field of analytics of the dynamics of machine-building structures: Conducted research on the collection, processing and AI analysis of vibration data of dynamic systems for the fault detection.
Internship and subsequent full-time employment as a rotor dynamics engineer in engineering company SoftInWay (USA, Kharkiv department) - established and carried out a procedure for testing mathematical methods for analysis the dynamic characteristics of rotational systems.
$3800 / mo
≈ $45600 / year net
ML Engineer
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 18 April · In passive search
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 18 April · In passive search
I want to work in a company where I can develop professionally and personally with mutual benefits for the people around me.
$3000 / mo
≈ $36000 / year net
Data Scientist, Machine Learning Engineer, Computer Vision Engineer, R&D Engineer
Ukraine · 4 years of experience · Advanced/Fluent ·Published 11 April · In passive search
Ukraine · 4 years of experience · Advanced/Fluent ·Published 11 April · In passive search
problems, as well as on client-server system, firstly based on REST API, but then swithed to TCP/IP. Used
tensorflow/opencv/numpy/keras stack.
Worked on Computer Vision system for drones. Worked on segmentation, detection and distance estimation problems.
Used tensorflow/opencv/pytorch/numpy/ROS/Linux software stack and Intel RealSence/Intel Nuke hardware stack.
Worked as outsource Data Scientist on different client projects. Worked on high variety of Computer Vision and Natural
Language Processing tasks. Used pytorch/tensorflow/numpy/opencv/AWS/Microsoft Azure stack.
Worked as temporary AI developer for the gamedev project.
$6500 / mo
≈ $78000 / year net
Data Scientist
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 9 April · In passive search
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 9 April · In passive search
NER for GDPR
An engine to recognize multiple risk word, names and numbers in documents. There are three models: character based LSTM for names, character based CNN for taxonomy entities and word based for context understanding joined by Bayesian rules.
Role: Data Science team leader with 3 team members.
Machine Learning-Powered Parking Signs Recognition
As per client’s request, the professional Data Science team created a solution capable of determining object geolocation and its properties using Google Street View images. This solution can pass through the entire regions on the map and build the needed profiling even if the only available data is the image location and the direction towards it.
Role: Senior Data Scientist.
IoT Smart House
The project consists of three different engines:
Prediction for humal commands in the house (classification using CNN, RNN, LSTM)
Prediction for complex sequences (LSTM)
Define templates of typical commands based on multiple houses - clusterization problem.
Role: Data Science team leader.
Ecommerce Price Prediction System
Regressor for price prediction based on DNN. Number of input features - more than 2500. The engine contains additional model that predicts accuracy of the prediction and NLP module
Role: Data Science team leader.
Other Projects:
Along with multiple software development projects, there were resolved multiple Big Data and Data Science problems. This is a list of some projects:
Detection of handwritten signatures in old books (2004)
Auto assembling of gas compressors with performance prediction and analysis (2006)
System for gathering computer network data and further anomaly detections (2008)
In-memory SQL-like database component for Adobe Flex (2011)
Framework for building Big Data applications for mobiles (2013)
Author of four published scientific articles, writer on towardsdatascience.com, volunteer.
$3000 / mo
≈ $36000 / year net
Data Scientist/ ML Engineer
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 4 April
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 4 April
Worked as an AI/ML Team Lead in a conversational AI project
Created end-to-end NLP solutions for document processing.
Worked on industry leading iGaming products (Compliance, geolocation, fraud prevention domains).
My BSc thesis features image deraining solution based on RES-UNet architecture and transfer learning. Working now on a MSc thesis, that provides a little different approach on music generation.
Achieved accuracy equal to the winner of 'IEEE-CIS Fraud Detection' Kaggle competition back in 2019.
Worked as a programming teacher.
$5500 / mo
≈ $66000 / year net
Python developer/lead
Ukraine · 10 years of experience · Upper-Intermediate ·Published 4 April · In passive search
Ukraine · 10 years of experience · Upper-Intermediate ·Published 4 April · In passive search
most of the time - different backends (sync/async)
$5000 / mo
≈ $60000 / year net
Data Scientist
Ukraine · 5 years of experience · Upper-Intermediate ·Published 3 April · In passive search
Ukraine · 5 years of experience · Upper-Intermediate ·Published 3 April · In passive search
Areas/task examples:
1. Time Series analysis and forecasting.
2. Portfolio optimization.
3. Writing prompts for summarizing data, explaining charts and tables, generating WhatsApp notifications. Worked with OpenAI’s API, Hugging Face models.
4. Responsible for the PostgreSQL database. Writing python utils to manage it. Writing endpoints via FastApi.
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Data Scientist at American quant fund, startup (2020-2022, 2.5 years). The central theme of similar funds is to manage partners' money by investing them across financial instruments. The decision to invest or not is made based on different mathematical, financial, and ML models.
Areas/task examples:
1. ML based predictions for stock markets. I was responsible for the process of designing and building a predictive model: defining objectives, data preparation, feature engineering, feature importance, model training, optimal params search, comparing results across ML models, sharing thoughts and recommendations on the final results.
2. Implemented my own backtesting simulator in python, statistical framework for evaluating a trading strategy, explainability and visualization utils for it.
3. I was responsible for the portfolio allocation framework, its development, improvement and exploitation of new trading ideas which utilize it.
4. Moving data around. It included writing SQL queries, processing data with pandas, aggregating data from several sources, writing sampling utils to get structured data for later
modeling.
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Data Science Intern at outsource company in Lviv (2019-2020, 1 year). My main achievement is that I worked on the two research projects in the small team, having a lot of responsibility, prepared two demo solutions, and wrote two business case studies, so potential clients can get acquainted with the projects the company can offer.
Areas/task examples:
1. Built main functions in a ranking products system based on a notion of object similarity. The similarity was defined in terms of textual, numerical features, and images.
2. Researched methods and pretrained models for a real-time motions/gestures/faces detection and recognition process. I designed the system's logic and implemented some parts of it.
My main achievement at a quant fund was that I pitched an idea for the portfolio allocation trading framework and prepared a running code for it. The result is that a couple of specific realizations of that framework got fundings and have been running live for almost two years now. I led the development of the ML model, which takes an individual trading strategy as input and assesses its risk profile. Based on this profile, you can tweak a decision of how much funds to put into that strategy.
I am looking for a company that doesn't cooperate with Russians in any form.
$6000 / mo
≈ $72000 / year net
PhD,DSc,Senior Data Scientist
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published 2 April · In passive search
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published 2 April · In passive search
$7000 / mo
≈ $84000 / year net
Data Scientist
Ukraine · Lviv · 5 years of experience · Upper-Intermediate ·Published 30 March · In passive search
Ukraine · Lviv · 5 years of experience · Upper-Intermediate ·Published 30 March · In passive search
1. Natural Language Processing (NLP): My experience encompasses Named Entity Recognition (NER), Multi-label classification, Text Generation, and utilizing advanced models like GPT (Generative Pre-trained Transformer).
2. Recommendation Systems: I have successfully worked on both Content-based and Collaborative filtering techniques, along with implementing Hybrid recommendation systems for enhanced user experience.
3. Statistics: Proficient in utilizing statistical methodologies to extract insights and make data-driven decisions, contributing to project success and accuracy.
4. Computer Vision: My capabilities extend to Image Segmentation, Object Detection, and Multi-label classification within the realm of Computer Vision, achieving optimal results in various applications.
Moreover, I have a proven track record of leveraging different Cloud platforms, such as Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), to deploy and scale solutions effectively.