Candidates 16
$4800 / mo
≈ $57600 / year net
NLP Engineer
Ukraine · Lviv · 8 years of experience · Advanced/Fluent ·Published 28 April · In passive search
Ukraine · Lviv · 8 years of experience · Advanced/Fluent ·Published 28 April · In passive search
I would like to work with machine translation or at least the development / fine-tuning of transformers. I am currently developing my skillset in big data, and would love to work on a project related to it and NLP.
I have experience working with AWS and am currently preparing to take the AWS Machine Learning Specialty exam.
$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.
$3500 / mo
≈ $42000 / year net
Data Scientist / ML developer / CV engineer
Ukraine · Lviv · 5 years of experience · Advanced/Fluent ·Published 15 April
Ukraine · Lviv · 5 years of experience · Advanced/Fluent ·Published 15 April
One year of work at Samsung as a CV engineer. The project is about image understanding and utilizing deep learning and classical CV approaches.
3.5 years of work in GlobalLogic as a computer vision engineer, working on lidar-to-camera fusion for one of the top players in the automotive industry using classical computer vision mostly in C++, using OpenCV and QT for visualization.
I have a bachelor's degree in computer sciences from the Taras Shevchenko National University of Kyiv and a master's in data science from the Ukrainian Catholic University.
1.5 years of non-commercial experience in the UNIT Factory. C/C++ projects, Python, and a dozen small group projects, each in a different language (golang, lisp, PHP, javascript, java).
I implemented a POC for 3d bounding box extraction for cars in the parking lot from a single image using transfer learning on the prebuilt DNN.
I replaced the CNN model with a SOTA transformer-based, performing the end-to-end process from the idea suggestion to integrating the fine-tuned model into the existing pipeline and evaluating the downstream task.
The model of the smallest size reached the CNN precision, adding the ability to easily scale the model size as more data will be collected.
I suggested and implemented the automatic metrics calculation. It saved ~2 hours on each evaluation, which the team members did multiple times weekly.
Students voting selected me as the best student in my UNIT Factory enrolment group (~100 people).
I proposed an approach for adversarial attacks on OCR (Tesseract) for my bachelor's thesis.
Scholarship holder at Ukrainian Catholic University. Teacher assistant for Python course (lectured and created new projects for students). I proposed and implemented four big group projects, 12 workshops in Colab, and a git workshop for 100 people. I managed a team varying from 2 to 5 people. I also gave lectures weekly.
For my master's thesis, I proposed and implemented a novel model-based method to improve the camera calibration's feature detection step.
The protection from the mobilization is a very important benefit.
I value the trust and the absence of micromanagement. Instead, I prefer stating well-defined goals beforehand to ensure everyone has the same definitions of done.
$7000 / mo
≈ $84000 / year net
Data Scientist
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 12 April
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 12 April
From 2006 to 2014 I have worked as Data Analytics, applying various mathematical techniques (neural network, fuzzy logic, clustering & classification, multi dimensional time series, regression, statistics) to design complex analytical solutions and visualize data in an interactive way, as well as communicating results, technical constraints, and decisions to the business and non-specialists. Major programming tools that I used at that time was Matlab, R, SAS, C#, C++.
From 2014 my research interests extended far beyond classical math and neural networks, extending to domains of Dynamical Systems, Brain Computer Interfaces, Space Elevator and AR/VR technology. That was a time when I learned Java/Android programming, was co-founder of a startup, was organizer and lecturer for the Copernicus Space Elevator bootcamp.
At the end of 2015 I returned to the e-commerce field as part of NOOSPHERE data science team. In 2017 I joined N-IX, where I worked as a Sr. Data Scientist, responsible for performing R&D and feasibility studies, alongside with technological and scientific consulting. And since mid 2019 shifted to work with fashion startup MySize. During this period, I was involved in development and amplification of the data science teams. And I actively applied k-means/c-means/dbscan, multiple regression, anomaly detection, state-of-the-art approaches to time-series analysis like FFT/Wavelet transformations, NLP, Convolution Neural Network and other image classifications techniques. R, Python and Matlab were the main programming languages.
My motto could best described by Terence McKenna famous words:
"The universe is an engine designed for the production and conservation of novelty and that as novelty increases, so does complexity. With each level of complexity achieved becoming the platform for a further ascent into complexity."
more details you would find on my linkedin page
- Created and successfully teached few times, online course "Data Science for beginners with R''
$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.
$4000 / mo
≈ $48000 / year net
Machine Learning Engineer
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 8 April
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 8 April
Worked with feature engineering and Big Data
Master's degree in computer science. Currently studying for Ph.D.
Feel free to ask for my CV&Contacts for more information
$2000 / mo
≈ $24000 / year net
Data Scientist, NPL engineer
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 28 March
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 28 March
- NER model with Prodigy package (data preparation, labeling, modeling, error analysis, iterate)
- Geocoder (Google APIs, Pelias)
- Supervised models (xgboost, bi-lstm, transformers) for free text comparation
- Unsupervised models / custom systems for free text clustering
- A lot of tabular data (SQL)
- Cloud services (AWS, Databricks)
- Implemented geocoding pipeline from scratch using Google’s places and addresses api, created voting system as part of pipeline for selection best of multiple geocoding api outputs.
- Combined the two above projects to create ML driven system that takes news (media articles) as input and outputs location (lat-lon pair), time and actors of crime event.
- Spent significant amount of time developing tools for automatic data insight and statistics generation to make user experience more pleasant and insightful.
$5000 / mo
≈ $60000 / year net
Mathematician and Algorithmist
Ukraine · Lviv · More than 10 years of experience · Advanced/Fluent ·Published 28 March
Ukraine · Lviv · More than 10 years of experience · Advanced/Fluent ·Published 28 March
I am also a team player, leader of a friendly team of software developers engaged in a complex R&D investigations in virtually any (software-related) area: I am eager to share my experience, problem solving approaches and my knowledge with my colleagues, and work together especially on exciting tasks that require development/invention of new algorithms and other mathematical approaches.
My software development background allows me to quickly check the operability and prototype modules being developed by my team.
Current project: The Predictive Tire Health Monitoring System
Customer: The Goodyear Tire & Rubber Company U.S.A.
Roles: Mathematician, Algorithm Developer, Python Software Developer.
The Predictive Tire Health Monitoring System is to detect tire leakages as soon as possible, to identify the trend of the leakage, and to generate alarms when the tire pressure tends to fall down for example, when the tire is punctured. I am responsible for developing and coding real-time leakage detecting algorithms, verifying their quality, data labeling, composing methods for cross-comparison of my algorithms with other (previously used) ones.
Role in the project – Mathematician, Algorithm Developer, Python and C++ Software Developer, Tutor / Team Lead.
$7500 / mo
≈ $90000 / year net
Data Scientist
Ukraine · Lviv · 6 years of experience · Advanced/Fluent ·Published 27 March
Ukraine · Lviv · 6 years of experience · Advanced/Fluent ·Published 27 March
- I can communicate and explain the solution to non-technical people.
I'm ready for part-time projects and consulting.
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