Candidates 49
$6000 / mo
≈ $72000 / year net
R&D Engineer/ML Engineer
Ukraine · Lviv · 4 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · Lviv · 4 years of experience · Upper-Intermediate ·Published today · In passive search
- 1st author of 2 scientific publications in the field of remote vital signs measurement
- Author of multiple business white papers as a result of conducted research and built demo
$2000 / mo
≈ $24000 / year net
Machine Learning Engineer
Ukraine · Lviv · 2 years of experience · Intermediate ·Published yesterday · In passive search
Ukraine · Lviv · 2 years of experience · Intermediate ·Published yesterday · 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.
$5000 / mo
≈ $60000 / year net
Data Scientist
Ukraine · Lviv · 7 years of experience · Upper-Intermediate ·Published 19 April · In passive search
Ukraine · Lviv · 7 years of experience · Upper-Intermediate ·Published 19 April · In passive search
Strong experience in providing Reporting Solutions
Strong experience in Predictive Analytics, Data Mining, Time Series Analysis
Solid background in management – consulting, business
Combination of technical and organizational background
$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.
$2700 / mo
≈ $32400 / year net
R&D ML/CV Engineer
Ukraine · Lviv · 2.5 years of experience · Advanced/Fluent ·Published 14 April
Ukraine · Lviv · 2.5 years of experience · Advanced/Fluent ·Published 14 April
In my prior role, I spearheaded the research and implementation of innovative 3D scanning approaches, integrating and fine-tuning ML pipelines for pre-/post-processing of images and 3D models. I am adept in Python, C++ and CUDA and remain open to expanding my language stack.
Beyond my commercial endeavors, I co-authored a publication on Binary Neural Networks accepted by the CVPR 2021 Workshop, showcasing my noncommercial machine learning experience in computer vision.
My unique blend of high-performance computing, classic computer vision, and machine learning skills positions me as a valuable contributor to the advancement of 3D scanning technologies.
$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.
$2800 / mo
≈ $33600 / year net
Machine Learning/Data Science Engineer
Ukraine · Lviv · 3 years of experience · Upper-Intermediate ·Published 8 April · In passive search
Ukraine · Lviv · 3 years of experience · Upper-Intermediate ·Published 8 April · In passive search
At the start, I worked on some side projects: the OCR system, 3D Object Detection model, and Image Stylization with GANs.
During my employment, I worked on the Talking Head Generation system, video action registration system, Anomaly Detection on images, Text-to-video matching using neural net features, Image Inpainting, and a system for pronunciation mistakes detection.
My main stack of technologies was Python, torch, OpenCV, transformers, matplotlib, pandas, and librosa.
I had experience deploying pipelines to AWS, Replicate, and demos to the HuggingFace Spaces.
Additionally, I utilized web scraping(selenium) and developed Python apps for Windows (win32com).