Candidates 179
$900 / mo
≈ $10800 / year net
mathematician, slot game designer, quantitative blockchain data analyst,AI, ML
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Last my job was quantitative blockchain analyst.
I used different mathematical methods analyzing cryptocurrency price changes on a crypto exchange to predict this change and play statistical arbitrage. I used cointegration, time series analysis, GRUNCH, Kalman filter, clusterisation and any other statistics.I was tasked as a mathematician to analyze all the mathematical methods that are now relevant for the analysis of cryptocurrencies and come up with a trading strategy that can be used in the Crypto Bot that we write to play on the stock exchange.
Before last my job was developing slot games. I take videos of any popular slot game from youtube or play this game online on a casino site or on site wellknown slot game companies like EGT, Aristocrat, and so on, and create game like this. I use MATLAB for modeling and analyzing created games, calculation & learning different game's statistics, first of all, RTP parameter. RTP of slot games must be between 96-98%.
Also , as scientist, I look through different scientific articles about game industry, to be able to create good modern games.
I have strong math skills, good education, unfinished PhD. I live in Ukraine, I stay all-time at home & work online, cos I am very afraid of war & covide. I send You my CV in russian and English. If you are interested, please contact me on viber, telegram,or whatsapp.
My english is not so good, so i better understand written text, instead phone talk.
Thanks!
CV in english:
Anton Borisenko, 36 years old, lives in Kiev, not married.
Qualifications: programmer, mathematician, web master,Scientist, lecturer.
I am looking for a job as a programmer, mathematician, analyst (C++, matlab). Graduate from mathematics faculties of Kiev National University named by T.Shevchenko. Worked & studied in after graduate studying in the radio-physics department of Kiev National University. Have unfinished PhD on signal digital processing algorithms. If you have job, requested deep learning of such branches & ability of programming such difficult algorithms in C++, matlab, java, so it's job quite for me. It may be different signal filtrating, pattern recognition, different math. statistics,artificial intelligence, fuzzy logic, wavelet, AI, machine learning, data visualization &so on.
my IQ = 130
1994-2000: studying at Kiev national university named by T.Shevchenko, mathematics department.
2000-2002: studied after graduate studies at the the radio-physics department Kiev national university named by T.Shevchenko.
2000-2002: working at Kiev national university named by T.Shevchenko,development programme in artificial intelligence (neuron network, fuzzy logic, math. statistic) and mathematical modeling in biophysics in matlab &c++. also deliver lectures on math. statistics&probability.
2003-2004: delivered in VMUROL "Ukraine" univer lectures on "protection information & information product"(cryptography, computer security) and working with databases(MySQL, Ms Access).
2003 working Kiev national univer named by T.Shevchenko mechanics&mathematics department working out principles of new department "system analysis" .
2003-2005: master on renewal electronic. (can repair TVsets,Taperecorders,amplifiers )
2000-2009: working in stock exchange, admining & develop special database (MySQL, Ms Access)
2009-2015: web-master(html,css,php,java,cms joomla)
2009-2019: freelance
2019-2021: slot game mathematician, game analyst & designer
2021-2022: quantitative blockchain analyst.
$500 / mo
≈ $6000 / year net
Junior Data Scientist
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
Solved common problems of mathematical disciplines, particularly mathematical statistics and probability theory.
Studied the theory and applied problems of cluster/correlation /regression, and ANOVA analysis (SAS/Statistica).
Applied modern data analysis methods using Python (Pandas/NumPy/Scikit-learn).
$8000 / mo
≈ $96000 / year net
Software Engineer / Machine Learning Engineer
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published today · In passive search
I have 9+ years of experience in IT in different roles: DevOps engineer (5 years), Python Back-end engineer (4 years), ML engineer (2+ years), Technical Lead (1 year). Such broad experience makes it possible for me to speak the same language with different engineers and understand them, which is very important while collaborating inside a team or a company. As an ML engineer, I'm able to not only train models in Jupyter notebook but also know how to convert business goals into technical tasks, design, and build the whole production system with ML models and surrounding infrastructure. Besides that, I have strong math and statistical background, and terms like "Central Limit Theorem", "p-value", "probability distribution" wouldn't scare me at all. I mean that I'm confident in doing complicated data analyses and sophisticated feature engineering.
I have experience in building two big software projects from scratch. One of them is the ML project, where I had a Tech Lead role (leading a team of 4 ML engineers). On that project, I designed the whole system (ML models, data pipelines, monitoring, analysis tools) and implemented it with the team from the first commit in git till the continuous deployments on production.
In my next journey, I was invited into a project in which research kind of work was already done and at that time we have to go into productions with a few hundred models. The main challenge was to organize previous research work in clean efficient production-ready code and set up engineering pipelines in a way, where we can simultaneously train dozens of models and receive feedback (performance metrics) as soon as possible. As a result, we decreased all models' training time from around 24 hours to 30 minutes.
The ideal management, for me, is clear, transparent, with common sense in the first place, without micro-management, time tracking, etc. I like when managers treat people as mature adult individuals and assess their work by the results.
Ideally, expect to have an opportunity with all above mentioned and where my broad experience is needed.
$800 / mo
≈ $9600 / year net
Data Analytics , Data Science
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published today
Python(але в цьому етапі я ще новачок).Первинний аналіз даних для зрозуміння їх природи,підготовку та чистку можна зробити через Excel,Google Sheets або Power Bi(Excel вище середнього, Power Bi рівень середній).Для обробки даних можна використовувати вище згадані інструменти або перейти в Python в залежності від поставленої задачі(рівень володіння Python вважаю високим , але давно не працював з ним поглиблено тому можливо зараз рівень середній- вище середнього). Для обробки та вилучення необхідних даних також використовую SQL(високий рівень).Для візуалізації отриманих даних використовую Python(matplotlib or seaborn), але зараз активно намагаюсь імпементувати для цього Power bi.Для створення звітності використовую Power Point , Google Docs або Power Bi. Зараз активно намагаюсь внедритись у сферу Machine Learning тому якщо стоятиме питання створення алгоритму для прогнозування то для цього я б використав Python(numpy, pandas, scikit-learn).
Можливо про щось не сказав)))
$4000 / mo
≈ $48000 / year net
ML Engineer
Ukraine · Kyiv · 4 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 4 years of experience · Advanced/Fluent ·Published yesterday
- End-to-end ML Engineering in automotive (vehicle test assistance app)
- AWS Ecosystem (Glue, SageMaker, Lambda etc.)
- GCP (BigQuery, GCC,
Python Stack: Pandas, NumPy, Flask, BeautifulSoup, Scrapy,
Selenium, Matplotlib, Seaborn, SQLAlchemy
ML Stack: Tensorflow, Keras, Scikit-learn, SciPy, XGBoost,
LightGBM
Dashboarding Stack: Tableau, Google Data Studio, Niche
Dashboarding
Databases: Oracle SQL, PostgreSQL, SQLite, BigQuery, MySQL
Notebooks: Jupyter Notebook, Google Colab
DevOps Stack: Docker, Google Cloud Composer, Terraform
Orchestrators Stack: Apache Airflow
AWS: SageMaker, Glue, Lambda, S3, SNS/SQS, ECR, ECS, RDS, EventBridge
- proven recommendation from Project Manager at Google
- proven as an independent combat unit at complex projects, which I handled for clients myself only
- developed a promotion algorithm which still serves the company faithfully for 3 years already
$500 / mo
≈ $6000 / year net
Machine Learning Engineer
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published yesterday
Experience: 1.5 years(part-time)
Responsibilities:
1. Teaching students C++ language, Data structures, and Algorithms.
2. Preparing students for programming contests.
Wanted position: Machine Learning Engineer.
Experience:
No commercial experience.
Non-commercial experience:
1. Two Computer Vision projects(they are on my Github):
a. Model for recognizing character inside of a box.
b. Model for segmenting ships in an image.
2. Completed Deep Learning Specialization on Coursera.
3. Completed Python for Big Data and Data Science course at the university(tasks and their solutions are on my Github).
$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
$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.
$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.
$800 / mo
≈ $9600 / year net
Data scientist / NLP engineer
Ukraine · Kyiv · 1 year of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 1 year of experience · Advanced/Fluent ·Published yesterday
I have started by learning the basics of the NLP pipeline and gaining hands-on experience in data collection, labelling, preprocessing, feature engineering, topic modelling, text classification, clustering techniques, and quality metrics of a model.
I have advanced my expertise by learning the theoretical foundations of classic ML and Deep Learning, gaining comprehensive insights into the architecture of Neural Networks. The practical application of this knowledge was in building and training SimpleRNN and LSTM models for both binary and multi-label classification tasks.
Additionally, I got interested in applying Large Language Models (LLMs) to classify textual data and build AI-driven solutions.
- Engineered a prioritization system which aims to assist the customer support team in decreasing their response time to urgent situations and provides the marketing team with a summary of positive reviews.
- Initiated and led an AI chatbot project for language schools. Crafted a compelling pitch deck and presented the idea to a diverse group, receiving positive feedback.
What I value most in a workplace is the opportunity to gain hands-on experience through both independent tasks and in collaboration with more experienced colleagues.
I’m looking for a company which encourages continuous learning and participation in various hackathons and conferences