Candidates 87
$5500 / mo
≈ $66000 / year net
Machine Learning Engineer
Ukraine · Kyiv · 6 years of experience · Pre-Intermediate ·Published today · In passive search
Ukraine · Kyiv · 6 years of experience · Pre-Intermediate ·Published today · In passive search
Video Inpainting, Head Pose Estimation, Body Pose Estimation
Winner of CVPR 2019 Detection and Tracking Challenges.
Co-author of pappers:
- "Learning Local Feature Descriptors for Multiple Object Tracking", ACCV 2020
- "BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices", AISTATS 2023
$1500 / mo
≈ $18000 / year net
Data Scientist, Data Analyst
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published yesterday
Main projects:
1. Production optimization: R, tidyverse
• Conducted production process analysis and identify critical issues and gaps for an established process center
• Identified influential indicators of production optimization and their relationship
• Build predictive models using various machine learning tools to predict product growth
2. Formation and approaches to forecasting the exchange rate: R, tidyverse
• Mentoring a group of researchers, monitoring the timing and quality of implementation.
• Dive the interaction and partnership between the managers to ensure active cooperation in identifying as well as defining analytical needs
• Build predictive models with a variety of machine learning tools to predict currency rates.
• First place in the competition
3. Financial and economic justification of the legislative initiative: R, tidyverse
• Developed a model of clustering of draft laws using SOM for scaling and forming clusters of similarity of projects
• Developed an information processing algorithm with the involvement of NLP and methods of machine and statistical learning
• Led training sessions on the econometrics and clustering algorithms for justification of the legislative initiative
Now I'm working as Associate Professor at Department of Mathematical Modeling and Statistics, ІІТЕ, KNEU.
I want to join the data science team and deepen my knowledge and skills.
Docent: academic status
- work in team
- self-development and self-education
- share and gain knowledge
- time series analysis
- other fields of data science
I do NOT want to do:
- work alone on a project
- routine work without the possibility of development and improvement.
$5000 / mo
≈ $60000 / year net
Senior Data Scientist
Ukraine · Kyiv · 6 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kyiv · 6 years of experience · Upper-Intermediate ·Published 1 May
- Built an hierarchical text classifier working with 8 languages for the whole AIB taxonomy - MGID company
- Created the CPA optimization model: CR is doubled while the number of leads is -10% - MGID company
- Realized and implemented the algorithm identifying random/fraud clicks - MGID company
- Created the model identifies level-quality gaps in the game - FragLab company
- Fully created the MVP for an ads recommender model for 800 millions MAU - MGID company
- Developed a ML version of an item recommender model for different requirements setups - Rocket Delivery company
- Built a supply-demand manager from scratch as a service -Rocket Delivery company
- Fully developed vehicle prediction service as a part of the fraud detection system - Rocket Delivery company
- Different other ML models and analytical solutions
$10000 / mo
≈ $120000 / year net
GenAI, Prompt Engineer, LLMs, Data Scientist, Machine Learning Engineer, MLOps
Ukraine · 6 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · 6 years of experience · Upper-Intermediate ·Published 1 May
I love teaching and enjoy the challenge of communicating complex concepts clearly and concisely.
Experience:
- GenAI, LLMs.
- MLOps, development, deployment, testing, experimenting, leading the team, planning
- Designed and created algorithms, built models, and prototyped solutions.
- Worked in a team with the Software Engineers, Data Analysts, Data Scientists, and Data Engineers of the Data team, as well as our business contacts (Product teams, Sales, Customer Engagement, Marketing, etc.).
- Proposed innovative use cases (features in the product/algorithms to scale our business);
- Manage data scientists.
- Train former data analysts to become data scientists.
- Build the ML Solutions (AWS SageMaker, AWS Lambda, AWS Batch, API Gateway, MLFlow, Azure Databricks), Datastore (S3, Snowflake) stack.
Most recent projects:
- GenAI (Email, document processing, code generation, RAG systems, auto-testing using OpenAI / custom LLMs)
- Identify items in the store that exist in the system but do not exist on the shelf.
- Email text processing to extract valuable information for vessel logistics.
Past projects:
- Predict the likelihood of clicking on the AD by the user
- Content Recommendation Engine – Recommend posts to users by their view history
- Missing inventory on the shop shelf classification
- Article content classification (auto-moderation system)
- Churn prediction
- User segmentation to similar groups by their behavior features
- Keyword extraction from post content
- NER – Entity extraction from post content
Also:
Regression:
- Forecasting the demand for goods.
Clustering:
- Motion detection by sensor data.
Recommendation systems:
- Recommended Cold Start Movie System.
- System for recommending the next action (purchase/view) for the user
Computer Vision:
- Counting the number of people in the cinema hall.
- Recognize identification numbers on the railway carriage.
- Fashion image segmentation.
- Pet photo analysis.
- QR code detection
- National Technical University of Ukraine 'Kyiv Polytechnic Institute' FICT Computer Engineer - Bachelor's
- National Technical University of Ukraine 'Kyiv Polytechnic Institute' PMA Data Scientist - Master's
Hackathons:
- Churn prediction, define if the employee will quit the company (SoftServ) 3rd place.
- System for recommending movies on streaming service (sweet tv) 3rd place.
- Book rating prediction (INT20H) 2nd place.
- Forecasting system for retail (Hack4Retail) 3rd place.
Participant Kyivstar BigDataSchool 2018
$6000 / mo
≈ $72000 / year net
Senior Java
Ukraine · Kyiv · More than 10 years of experience · Intermediate ·Published 1 May · In passive search
Ukraine · Kyiv · More than 10 years of experience · Intermediate ·Published 1 May · In passive search
Skills.
- Deep understanding of software development methodologies, technology trend, modern approaches.
- Experience in development of high-load, scalable applications.
- Ability to analyze the problem and offer a solution.
- Ability to work with a distributed team.
- Ability to work with and make solutions for complicated business logic.
- Systems thinking and analytical mindset, attention to detail, problem-solving skills and ability to work without supervision.
Experience.
- Developing languages: Java
- Technologies: Spring, Spring Boot(Eureka, Hystrix, Ribbon, Zuul), REST, Nginx, Prometheus, Grafana, Asterisk
- Devops: Cloud agnostic solutions, Docker, Docker Compose, Docker registry, Docker swarm mode, Nexus, CI/CD pipelines for TeamCity, Jenkins, Gitlab, Node.js
- Data science: OpenNLP, Deeplearning4J, text classification by ANNs, full stack data science specialist (data collecting, feature engineering, model training, results validation, implementation)
- Domain-specific languages: ANTLR
- NoSQL: Mongodb, Elasticsearch, Solr, Oracle Coherence, Gemfire, OQL
- RDB: Oracle, MySQL, SQL
- Java specific: maven
- other: git, git flow, shell scripting
$3000 / mo
≈ $36000 / year net
Data Scientist / Machine Learning Specialist
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published 30 April
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published 30 April
• data analysis and preprocessing
• testing, developing and fine-tuning different ML models
• time series analysis
• image detection and recognition
Technical skills:
• Programming languages: Python
• AI and ML Libraries: Pandas, Mathplotlib, Scikit-Learn, Tensorflow, PyTorch, GluonTS, opencv
• Databases: MySQL, SQLite, Snowflake
• Cloud services: AWS
• Familiar with git, Hadoop, JIRA
Recent projects I took part in:
• Time series prediction for the sport goods retail company
• Traffic sign recognition and detection for German customer
• Damage detection on the concrete walls for German customer
• EEG data processing and visualisation for the medical startup
• Large language model adjusting and deploying on AWS
• Custom chatbot creation for the calltracking service
Seeking an opportunity to solve interesting tasks in the fields of Machine Learning and Data Science. Got a special interests for the projects connected with Natural language processing, image recognition and biotechnologies.
$3500 / mo
≈ $42000 / year net
Speech Recognition & Synthesis Engineer
Ukraine · More than 10 years of experience · Intermediate ·Published 29 April · In passive search
Ukraine · More than 10 years of experience · Intermediate ·Published 29 April · In passive search
C\C++\Python.
HTK, Sphinx, Kaldi, Speechbrain, wenet, k2, whisper.
Espnet.
Tacotron 2, Transformer, FastSpeech.
Development of a TV and radio broadcasting monitoring system with automatic speech recognition.
$4000 / mo
≈ $48000 / year net
Data Engineer
Ukraine · Kyiv · More than 10 years of experience · Intermediate ·Published 28 April · In passive search
Ukraine · Kyiv · More than 10 years of experience · Intermediate ·Published 28 April · In passive search
• Understanding of principals OLAP/OLTP systems.
• Data cleansing, modeling, and mining
• Understanding ETL processing in data warehouses;
• Understanding of DWH principals.
• 8+ years of overall database development expertise in DBMS (SQL, PL/SQL, T/SQL);
• 8+ years of overall Data warehouse & Data Mart modeling expertise;
• Strong expertise in BI stack: Data Warehouse design, implement analytics methods, Data Marts design;
• With expertise in advanced statistical algorithms, forecasting.
• Knowledge of cloud databases (Oracle), enterprise data warehouse structures, data pipelines and strong
SQL skills
• Experience in creating data driven dashboards to answer questions raised by the business
• Ability to understand and create test cases & strategies
• Good visualization skills (Power BI, Oracle BI)
• Optimization processes aggregation and preparing core data to MIS Reporting
• Redesigned data’s for process budgeting and forecasting
• Fixed many bug’s of MIS reports based on Oracle Analytics Report (OBIEE)
• More 50 reports was created in according to business during the last year
$5000 / mo
≈ $60000 / year net
Data Science Team Lead
Ukraine · 5 years of experience · Upper-Intermediate ·Published 28 April · In passive search
Ukraine · 5 years of experience · Upper-Intermediate ·Published 28 April · In passive search
I promote innovation and establish the foundation for data-driven intelligence to meet business needs. I’m a team player who believes that communication plays a vital role in achieving success. I’m committed to engaging with challenging tasks, motivated by a strong desire to consistently deliver outstanding results
Technical skills:
Data Science: TensorFlow, Keras, PyTorch, Scipy;
GIS: Xarray, Geopandas, Fiona, Rasterio, GDAL, PyGrib, Shapely, ArcPy, Datacube, OSGeo;
Parallel Processing: Threading, Subprocess, Dask;
Data Analysis & Visualization: Pandas, Numpy, Matplotlib, Seaborn, Plotly;
Cloud Computing: AWS (EC2, S3).
Communication skills:
Public Speaking;
Technical Reporting;
Cross-Functional Collaboration;
Mentoring;
Team management;
Certifications:
TensorFlow Developer Certificate, TensorFlow (Feb 2024)
DeepLearning.AI TensorFlow Developer, Coursera (Aug 2023)
AWS - From Professional to Expert, Udemy (Feb 2023)
$9000 / mo
≈ $108000 / year net
Machine Learning Engineer
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published 28 April · In passive search
Ukraine · Kyiv · 5 years of experience · Upper-Intermediate ·Published 28 April · In passive search
- As a Machine Learning Researcher at Reface, increased the accuracy of the image classification model by 40% compared to the baseline, managed datasets to help machine learning engineers find data quickly, and conducted research for new trending machine learning applications.
- As a Teacher of Machine Learning at Hillel IT School, taught a range of topics, including mathematics for ML, regression, dimensionality reduction, clustering, decision trees, as well as ML concepts such as convolutional, recurrent, transformer layers, and generative models. Also taught a wide range of Deep Learning areas, such as Computer Vision, NLP, and Recommendation Systems.
- As an Artificial Intelligence Developer in freelance work, solved clients' problems with Deep Learning and Machine Learning methods, using a range of technologies including PyTorch, TensorFlow, Keras, scikit-learn, Docker, AWS, Databricks, MLflow, OpenCV, DVC, Lighting, and Streamlit.
- Holds a Master of Mathematics and Computer Science and a Bachelor of Mathematics and Computer Science from Taras Shevchenko National University of Kyiv.
- Worked on several projects, including a Medium blog about Artificial Intelligence, a personal blog about machine learning experience, a Telegram channel about the latest machine learning news and publications, and a tracker of the latest machine learning publications and code.
- Interested in working on cutting-edge AI research and development projects related to computer vision, NLP, and recommendation systems. Also interested in exploring new AI technologies and techniques and sharing knowledge through teaching and mentoring.
- Increased accuracy of image classification model by 40% at Reface, achieving a significant improvement in the accuracy of its image classification model, which could have had a positive impact on the company's product offerings.
- Developed and launched a personal blog about artificial intelligence, sharing insights and experiences on a variety of ML and DL topics.
- Participated in hackathons and competitions, developing innovative solutions and earning accolades such as first place among 16 teams in Reface Wild Wild Hack 2021 and 55% accuracy in Google Hash Code 2019.