Candidates 676
$4500 / mo
≈ $54000 / year net
Data Scientist
Ukraine · Odesa · 8 years of experience · Advanced/Fluent ·Published 10 April
Ukraine · Odesa · 8 years of experience · Advanced/Fluent ·Published 10 April
7 years of experience with Data Science / Machine Learning;
Commercial experience with: time series, tabular, automated trading systems, signal processing, clustering, NLP, big data, computer vision
Target locking and tracking with computer vision (opencv, numpy);
FPV target acquisition simulation using visual trainer game;
Sounds source localization using microphone array (Python, C++);
Loitering projectile telemetry processing (Python, SciPy).
$5000 / mo
≈ $60000 / year net
Senior Software Engineer
Ukraine · 9 years of experience · Upper-Intermediate ·Published 22 April · In passive search
Ukraine · 9 years of experience · Upper-Intermediate ·Published 22 April · In passive search
In the past I was a member of large and distributed team that worked on robotic assist surgery platform for American customer.
Technology I’m working with: C/C++, Python, CMake, GTest/GMock, MQTT, GStreamer, opencv, QNX, Yocto Linux
$5000 / mo
≈ $60000 / year net
Senior Data Scientist
Ukraine · 10 years of experience · Upper-Intermediate ·Published 22 March · In passive search
Ukraine · 10 years of experience · Upper-Intermediate ·Published 22 March · In passive search
As a proactive problem solver driven by a relentless pursuit of excellence, I am well-equipped to tackle complex data challenges and provide data-driven solutions. With a focus on excellence, innovation, and a commitment to continuous improvement, I am poised to make a meaningful contribution to your organization's data science endeavors.
Minimum of product code writing.
$4500 / mo
≈ $54000 / year net
Data Scientist / Data Engineer
Ukraine · Kyiv · 7 years of experience · Upper-Intermediate ·Published 20 March · In passive search
Ukraine · Kyiv · 7 years of experience · Upper-Intermediate ·Published 20 March · In passive search
Aug 2023 - Now
- Orchestrated the creation of a robust data aggregation system that meticulously gathers and integrates data from multiple blockchains, ensuring comprehensive data availability in our proprietary database.
- Spearheaded the development of detailed reports for the affiliate program, leveraging data to provide insightful analytics, facilitating strategic decisions and enhancing program effectiveness.
Machine Learning Engineer | Trinetix
Jan 2020 - Aug 2023
- Led the development of a pioneering machine learning model designed to predict the likelihood of bug re-openings in project management system, enhancing the bug resolution process by providing developers with a probability score indicating potential issues needing further attention.
- The model utilized a range of features including bug descriptions, duration of bug resolution, and developer profiles to accurately gauge the risk of re-openings, resulting in a 28% reduction in recurrent bugs.
- Crafted and deployed a model aimed at standardizing user story estimations, which significantly improved the objectivity of time assessments for task completion by the development team.
- Constructed comprehensive reports and dashboards to measure and visualize the development team's performance, covering task completion rates, bug resolution efficiency, and other key performance indicators.
Data Scientist | Fozzy Group
Jan 2017 - Jan 2020
- Spearheaded the development and implementation of a predictive analytics model for optimizing inventory levels, leading to a 12% increase in holiday sales forecasting accuracy.
- Engineered an advanced demand forecasting system tailored for promotional events, streamlining operational efficiency.
- Formulated a sophisticated algorithm designed to maximize potential sales recovery, effectively reducing out-of-stock scenarios by 8%.
- Initiated and oversaw the creation of a user-friendly interface to enhance forecast management and promotional order processes.
- Implemented a novel clustering analysis for store categorization by sales, driving a 7% improvement in warehouse productivity.
- Pioneered the use of predictive analytics for the sales forecasting of new stock-keeping units (SKUs), ensuring a more responsive supply chain.
- Designed and deployed an algorithm for the exclusion of wholesale transactions in promotional sales data, refining sales forecast accuracy.
$2700 / mo
≈ $32400 / year net
Data Scientist / Analyst / ML Researcher
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published 26 April
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published 26 April
Primary expertise: classical machine learning algorithms for regression, classification, clusterization problems, anomaly detection, dimensionality reduction, and time-series analysis.
Helped to increase the performance of existing models at previous work by up to 15 percentage points. Consolidated various data sources to provide a new fraud validation system. Successfully created an autoML scoring model and implemented it in production, which helped automate a significant part of the scoring analytics processes in the department of the previous company.
$2000 / mo
≈ $24000 / year net
Media Buyer
Ukraine · 6 years of experience · Intermediate ·Published 1 May · In passive search
Ukraine · 6 years of experience · Intermediate ·Published 1 May · In passive search
- 6+ years of experience as a mediabuyer and marketing analyst
- Experience with health&beauty, crypto and gambling verticals
- Working with Europe, Latam and Asia geo regions
- Experience with Native Ad Networks and Facebook sources
- Working with Binom and Keitaro traffic trackers
- Experience with full cycle processes of mediabuying
- Experience with metrics optimization and KPI's development and execution
- Working with marketing analytics (ROI, CR, CTR, CPA, CPL, CPC, reg2dep and etc.)
- Knowledge of statistics and maths
- Knowledge and experience with Excel and Google Sheets
- Pre-Intermediate English (reading and listening)
- Familiar with GA, GTM, Google Ads, Facebook Ads
- Basic knowledge of Python and SQL
Personal qualities:
- result-oriented;
- data-driven decision-making approach;
- responsibility;
- high performance;
- critical and logical thinking
$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
Machine Learning Engineer
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 28 April
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 28 April
The biggest part of my work was done in the field of CV. The performance and the size of DL models have always been the most important part.
Developed segmentation, classification, and object detection solutions for PDF Expert and ScannerPro, which run in production. One of the key ScannerPro algorithms was reinvented by my initiative. Also custom lightweight YOLO-like and UNet-like models were built from scratch using Keras. Another big task was to reinvent the pen-annotation tool algorithm for PDF Expert using computational geometry. Additionally, I conducted research in the field of NLP for Spark. Read DL course for Readdle employees.
Freelance project, December 2017 — February 2018
Implemented approach from “Attention is all you need” for machine translation using numpy and tensorflow, as a part of the project for translation web-service.
Autobrains.ai — Deep Learning Engineer, January 2022 — July 2023
Implemented from scratch SOTA lane detection algorithm(2105.13680) using PyTorch.
As a part of the object detection team, trained and evaluated models for different object detection tasks on a daily basis.
Implemented solution for sub-classification task on the intersection of classification, object detection, and transfer learning fields.
Work on an internal auto-labeling tool using big object detection networks, transfer learning and custom approaches for 3D configuration detection of vehicles. Worked with mmdetection.
I have BS and MS degrees in applied physics and math.
- Created a detection algorithm for the PDFExpert macOS app with 100% accuracy.
- Created a custom object detection solution that meets KPIs even with a very small dataset for an autonomous vehicle task.
- Implemented the "Attention Is All You Need" paper for a freelance project back in 2017.
$6000 / mo
≈ $72000 / year net
Python Software Engineer with ML
Ukraine · 5 years of experience · Advanced/Fluent ·Published 30 April
Ukraine · 5 years of experience · Advanced/Fluent ·Published 30 April
ONVY HealthTech
- Designed and implemented cloud infrastructures using Serverless as IaC, AWS services and Python for efficient ETL processes and a robust application backend (API, GraphQL, etc.).
- Set up and managed data lakes and data streams using AWS (Kinesis, Firehose, Glue, Athena, S3, DynamoDB, etc.) for streamlined data storage and processing.
- Implemented algorithms and data pipelines for real-time data processing from various wearable devices (Garmin, Oura, Apple Watch, Polar, etc.) using machine learning techniques for health management.
- Conceptualized and executed POCs for innovative HealthTech solutions utilizing third-party services and APIs, demonstrating feasibility and potential value.
Technical Team Lead. Cloud backend engineer | 2019-2021
2701323 Ontario Ltd
- Designed and built robust AWS cloud architectures using Serverless and Python for a media-rich web application, employing various services such as EC2, Lambda, API Gateway, Cognito, IAM, DynamoDB, Aurora RDS, VPC, MediaConvert, nginx, S3 and others.
- Developed efficient backend systems (REST API and asynchronous data processing pipelines) for media content uploading, converting, and management, prioritizing scalability and performance to enhance user experience.
- Successfully led and managed a small technical team, coordinating tasks, ensuring project delivery, and fostering collaboration to achieve objectives effectively.
Co-head of the Artificial Intelligence team. Deep Learning Engineer. Researcher | 2019-now
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
- Leveraged and created CV, ML and DL techniques for diagnosing tuberculosis, osteoporosis, infective endocarditis, and brain diseases in collaboration with several clinics and medical institutes in Kiev and EU.
- Processed military intelligence data from UAVs with CV, contributing to strategic decision-making and security operations.
AWS + Serverless (Lambda, API Gateway, AppSync (GraphQL), RDS, S3, Cassandra, VPC, EC2, Timestream, Kinesis, Glue, Athena, SageMaker, MediaConvert, DynamoDB, Comprehend, ECR, EventBridge, SNS, SQS, etc.)
Multitasking Python (boto3, numpy, pandas, sklearn, plotly, tensorflow, pytorch, matplotlib, django, flask, asyncio, sqlalchemy, unittests, PyTesseract, opencv, etc.)
SQL, NoSQL, CQL
Familiar with JS, Java, C#, C, ASP.NET
Docker, Git, OpenAPI, CI/CD
$6500 / mo
≈ $78000 / year net
Machine Learning Engineer | MLOps | Data Scientist | Gen AI | LLMs
Ukraine · 7 years of experience · Upper-Intermediate ·Published 20 April
Ukraine · 7 years of experience · Upper-Intermediate ·Published 20 April
In the MLOps arena, I am proficient in tools such as AWS SageMaker and Kubeflow, demonstrating a strong grasp of the latest technologies in this field. Over the past year, I have focused on developing solutions based on Large Language Models (LLMs), further expanding my skill set.
Key Projects:
Image Enhancement: Utilizing advanced ML techniques to improve image quality.
Object Detection and Tracking: Implementing algorithms for identifying and following objects in video content.
Time Series Predictions: Applying ML models to forecast trends and patterns over time.
Fraud Detection in Video Content: Developing systems to identify fraudulent activities in video streams.
Article Popularity Prediction: Creating models to estimate the potential popularity of written content.
MLOps Platform Development: Building and optimizing platforms for efficient ML operations.
Retrieval-Augmented Generation (RAG): Working on state-of-the-art generative models for diverse applications.
My journey in Machine Learning is marked by a relentless pursuit of innovation and excellence, as I continuously explore and contribute to the ever-evolving field of AI.