Candidates 1147
$2700 / mo
≈ $32400 / year net
Software Engineer
Ukraine · 3 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · 3 years of experience · Upper-Intermediate ·Published yesterday
1. eCommerce solution.
Implemented several features to allow customers use Point of sale credit (payment method) in online store, improved credit eligibility application journeys. Fixed bugs. Provided small enhancements. Implemented unit, integration, pact tests.
2. Digital hubs management system.
Migrated code for all endpoints related to hubs from .NET C# to Java. The main difficulty was that the code was written very poorly, because of this I was able to increase the ability to understand such very bad code.
3. Digital assets management system.
Implemented a feature to search for digital assets IDs based on provided .xls file with links to digital assets (Backend and UI) which made it easier and faster for users to search for required digital assets. Migrated SOAP endpoints to REST in aim to make the API of the system uniform and lightweight. Covered most of the code I added with unit and functional tests. Provided small improvements like disabling Postman in production.
Technologies: Java, Kotlin, JavaScript, Spring Framework, GCP, Kafka, Git, Docker, Maven, Gradle, SQL, JDBC, JOOQ, Mockito, REST API, Jira.
Current role: Java developer, an eCommerce platform researcher.
Want to develop comprehensively back-end skills from databases to cloud.
Participated in mentoring Java preproduction students.
Passed GCP PCD exam on the first try.
$1500 / mo
≈ $18000 / year net
Data Scientist
Ukraine · 2.5 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · 2.5 years of experience · Advanced/Fluent ·Published yesterday
January 2023 – till now: Quantitative Analyst, Data Scientist - Data extraction and preparation, data fetching (API, Web Socket), Feature engineering, Quantitative analysis, strategy analysis, Time series predictive modeling. Models: SVM, Linear, Neural Networks (LSTM), Tree based (Random Forest). Instruments: Python, Pandas, NumPy, Scikit-Learn, TensorFlow.
October 2021 – till now: Developer/ Debugger at QualityUnit LLC – bug fixing, refactoring, database analysis, error logs analysis, Network communication analysis, designing solutions, adding functionality, customer communication. Tech stack: PHP 8.0, Javascript, MySql(MariaDB), Grafana, Kibana, Apache, Docker, Github, Intellij IDEA.
May 2021 – September 2021: PHP Web (Full-stack) Developer at TravelEarth agency – developing from scratch and deploying travel agency website; designing application and database. Tech stack: PHP, Javascript, HTML, CSS, MySql, Github.
2010 – 2012 : Postgraduate Course in Kyiv Shevchenko National University – Research on Game Theory and Economic Behavior of Counter-parties. Probability Theory and Mathematical Statistics, Fuzzy Sets, Game Theory.
-- ML Courses --
• Machine Learning with Python-From Linear Models to Deep Learning (Massachusetts Institute of Technology)
• Machine Learning with Python (freeCodeCamp)
-- Pet projects --
• Digital assets market analysis (Live) + Telegram bot alert-notifications
• Developing blog, using Vue.js / Node.js / Nest.js - Building REST API with authorization (JWT) and documented with Swagger. Based on Nest.js
-- Hobbies --
Market Analysis, investment, quantitative trading.
Data science - Quantitative analysis, Time series predictive modeling.
Programming: Python, PHP, Javascript
Math: Probability Theory, Statistics, Fuzzy Sets, Decision Making, Theory of Conflicts
Fluent English, Basic Spanish and Polish
Github:
.../serguzz/DataScience
.../serguzz
Data Science, Data Engineering
Machine Learning
Time series predictive modelling
Quantitative Analysis
$500 / mo
≈ $6000 / year net
Data Scientist
Ukraine · Kyiv · 6 months · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 6 months · Upper-Intermediate ·Published yesterday
2023 – Professional Certificate “TensorFlow Developer”,
DeepLearning.AI
2023 – Advanced English Course, Grade Education Centre, Kyiv
$6500 / mo
≈ $78000 / year net
Machine Learning Engineer / Data Science
Germany · 7 years of experience · Advanced/Fluent ·Published yesterday
Germany · 7 years of experience · Advanced/Fluent ·Published yesterday
Multiple talks at different conferences like VVS, ECVP (mostly vision sciences)
Summer schools on machine learning (multiple)
Have successful track of implementing different solutions based on the machine learning in industry and for startups.
Have experience on neural networks (Deep Learning, CNN, etc.) for computer vision, but also worked with standard classification algortihms, NLP problems etc.
$500 / mo
≈ $6000 / year net
Machine Learning Engineer
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published yesterday
Other:
Developed and deployed Telegram bots with databases, using Python and SQL.
Created web applications using Flask and Django frameworks, with expertise in both frontend and backend development.
Implemented containerization using Docker and deployed applications on VPS.
Proficient in version control systems, such as Git, ensuring collaborative and efficient development processes.
Programming Languages:
Python, C++, SQL
Packages:
Scikit-learn, PyTorch, TensorFlow, Keras, OpenCV, MediaPipe, Numpy, Pandas, Matplotlib, Seaborn, XGBoost, LightGBM, Django, Flask
Growth Focus:
I am eager to further enhance my machine learning engineering skills by delving deeper into advanced algorithms, reinforcement learning, and computer vision. Additionally, I am keen on mastering emerging technologies and frameworks in the machine learning landscape, fostering a continuous learning mindset to stay at the forefront of the field.
Mentorship: I value opportunities to collaborate with and learn from more experienced colleagues. I am enthusiastic about the opportunity to work collaboratively with a team of skilled professionals, learning from their experiences, and sharing my insights to foster an environment of continuous growth.
Impact: I want my work to have an impact. I am interested in participating in projects that solve real problems and bring positive results.
$3000 / mo
≈ $36000 / year net
Data Scientist
Ukraine · 2 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Ukraine · 2 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Leading multiple analysis & econometric projects for local and international clients in FMCG, pharma, telecom & banking categories.
Experienced in data exploratory, statistical & regression analysis with ML methods: Marketing mix modeling, attribution & predictive modeling, scenario simulation for business in Python / R.
Building & supervising model development from scratch: from data collection and cleaning, feature engineering, choosing the most statistically appropriate method, hypothesis testing, validation of results to aligning with business context, and providing a report with outcomes & recommendations.
Modeling various KPIs that help clients better understand business performance, contribution of trade / media / other factors, optimize marketing mix & budgets to maximize ROI, sales.
Building predictive models to forecast KPI based on client's scenarios and provide recommendations on the optimal strategy to reach the target.
Introduced a new structure of Econometric department, leading organizational & methodological changes for increasing processes efficiency and communication with clients.
- Models created optimized trade and media strategy that led to increased revenue & ROI
- Accurately model category and brand development using predictive modeling
- Integrate tech & communication skills to find the balance between statistically precise / significant solution and shaping the outcomes in a relatable way efficiently communicating to senior stakeholders
$500 / mo
≈ $6000 / year net
Data labeling specialist
Ukraine · 1.5 years of experience · Intermediate ·Published yesterday
Ukraine · 1.5 years of experience · Intermediate ·Published yesterday
Labeling images using Computer Vision Annotation Tool, Roboflow and Coco - Annotator.
Create reports based on the labeling results. Compare visual outputs and results.
$7000 / mo
≈ $84000 / year net
Lead Data Scientist / Engineering Manager
Ukraine · Kyiv · 6 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 6 years of experience · Advanced/Fluent ·Published yesterday
Data scientist with 6 years of experience.
Skilled in natural language processing, math, software development. Worked on many problems including text clustering, text classification, topic modelling, event detection, named entity recognition, image segmentation, image classification, object detection.
Technical skills:
Python, Numpy, Pandas, Scikit-Learn, Gensim, NLTK, spacy, transformers, PyTorch, mmdetection, git, Docker, bash, Doccano, streamlit, VSCode, flask, dash, plotly, GRPC
Languages:
Ukrainian (native), English (Advanced)
Willing to work as an EM.
$500 / mo
≈ $6000 / year net
Data Scientist
Ukraine · No experience · Upper-Intermediate ·Published yesterday
Ukraine · No experience · Upper-Intermediate ·Published yesterday
- 2021-2023 - Senior Lecturer at the Department of Systems Engineering, NURE;
- From 2023 to the present - Associate Professor at the Department of Systems Engineering, NURE;
- From 2023 to the present - DAAD programme, “Digital Ukraine: Ensuring academic success in times of crisis”, lecturer and visitor at Technical University of Applied Sciences Wildau.
Additional professional trainings:
- Kharkiv ITCluster and Grid Dynamics, “Introduction to Python programming for big data and data science”, 2023.
- Sigma Software, “Data science”, 2024.
$3000 / mo
≈ $36000 / year net
Machine Learning Engineer
Armenia · 2.5 years of experience · Upper-Intermediate ·Published yesterday
Armenia · 2.5 years of experience · Upper-Intermediate ·Published yesterday
In AI-based head-swapping, my role in R&D involved utilizing OpenCV and PyTorch, implementing GANs, and customizing training methodologies.
Frameworks like Hugging Face's Stable Diffusion, ControlNets, and GPT-4 guided the development of BefakeAI, securing a USD 3 million investment.
As Co-founder and CTO I built an efficient AI art solution with GANs like pix2pix and StyleGAN, optimizing models for real-time inference in Snapchat's Camera, achieving a remarkable 100x improvement.
My leadership involved managing teams, securing investments, and closing significant deals.
In AR technology, I developed a flat object 3D tracker with OpenCV and C++.
Product (MVP) for the BefakeAI app, leading to the company securing a USD 3 million investment.
Secured significant investments and grants from the European
Union for my startup Dzook.
Closed a substantial deal with Snapchat, collaborating on the creation of a special lens, utilizing our AI pipeline for fast img2img model creation.