Candidates 34
$6500 / mo
≈ $78000 / year net
Lead/Senior DevOps Engineer
Ukraine · Lviv · 8 years of experience · Upper-Intermediate ·Published today
Ukraine · Lviv · 8 years of experience · Upper-Intermediate ·Published today
For 3 years at a world-leading big-tech company in the cybersec domain:
- Architected and maintained high-load data processing ML pipelines utilizing Apache Flink and ONNX in the cybersecurity domain.
- Spearheaded the development of an all-encompassing Data Science research infrastructure, integrating tools such as Amazon SageMaker, AWS MWAA (Apache Airflow), JupyterHub, MLflow, ThreatQ, TheHive, and more.
- Elevated DevOps methodologies throughout the software development lifecycle, ensuring best-in-class practices.
Technologies Used:
Proud of my extensive experience with Kubernetes, AWS services, and CI/CD tools including Jenkins, TeamCity, GitHub Actions, and Azure DevOps. Adept at virtualization/containerization with tools like Docker and VMware ESXi. Also, proficient in Python (highlighting Pandas, Matplotlib, NumPy), web-stack technologies, and Kotlin DSL.
Current Role:
As a seasoned DevOps Engineer, I helm the designing, implementation, and continuous monitoring of robust and secure infrastructures. Often, I'm at the forefront of leading teams on multifaceted projects, ensuring that DevOps practices are integrated seamlessly and effectively.
Areas for Improvement:
I'm eager to explore deeper into the realms of MLOps and DataOps — two fields at the exciting intersection of DevOps with AI. My goal is to refine strategies ensuring their more intuitive and efficient integration.
Cybersecurity Excellence: At a world-leading big-tech company, I championed the establishment and maintenance of a diverse, cutting-edge Data Science research infrastructure, ensuring that researchers had best-in-class tools and technologies at their fingertips in the high-stakes cybersec domain.
Optimized ML Infrastructure: In the cybersecurity domain, overhauled ML infrastructure deployment strategies, leading to a significant reduction in costs by approximately 27%. Implemented techniques prioritizing both efficiency and security.
Revolutionizing Deployment: Pioneered the integration of CI/CD best practices, which culminated in a dramatic decrease in deployment time by around 80%. This acceleration has been a game-changer, enhancing team productivity and project turnaround times
- positions that allow for continuous learning, especially in emerging technologies and trends.
- positions without an on-call schedule
$5000 / mo
≈ $60000 / year net
Senior Python Engineer + CV/ML
Ukraine · Lviv · 9 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · Lviv · 9 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Research & Development.
Systems architecture/design.
CV, ML, OCR, Chatbots, ETL etc.
CV/ML
Don't wan't to do boring trivial stuff (e.g. Moving data from forms to db)
$3000 / mo
≈ $36000 / year net
Machine Learning Engineer (NLP, LLMs, ChatGPT)
Ukraine · 3 years of experience · Upper-Intermediate ·Published 29 April · In passive search
Ukraine · 3 years of experience · Upper-Intermediate ·Published 29 April · In passive search
*Had experience in mentoring 2 junior-level developers
*Developed the math-solving pipeline, that beat the SOTA approach with a 40% increase in accuracy
$3800 / mo
≈ $45600 / year net
Data Scientist
Ukraine · Lviv · 5 years of experience · Upper-Intermediate ·Published 29 April · In passive search
Ukraine · Lviv · 5 years of experience · Upper-Intermediate ·Published 29 April · In passive search
Preparing data
Business understanding of data
Preprocessing and generating features
Training binary classification models
Creating a prediction pipeline
Analysing historical data about telemarketing calls and creating an algorithm to detect performance degradation for phone numbers.
Tools and technologies: CatBoost, LightGBM, XGBoost, FB Prophet, numpy, pandas, scikit-learn, scipy, SnowFlake, AWS SageMaker
Two parts of a project:
Building a test results management tool
to filter false-positive errors and reducing
the cost of testing.
Experimenting with an automatic tool
to detect, interact with, and check all the objects on the web page.
Worked on:
Collected and processed raw data from the data warehouse.
Generated features for analyzing different errors.
Built and tested statistical hypotheses.
Built and validated models.
Generated the model's results reports.
Built a pipeline for retraining a models
Built an automated tool for Windows.
Developed a logic for object detection
and interaction.
Tools and technologies: pandas, CatBoost, Keras, scikit-learn, OpenCV, win32auto, selenium, Flask, OracleDB.
- Won a few ML hackathons
- took part in a lot of different learning and community activities
2) Motivated team that is constantly learning something new and developing its expertise.
$4800 / mo
≈ $57600 / year net
NLP Engineer
Ukraine · Lviv · 8 years of experience · Advanced/Fluent ·Published 28 April · In passive search
Ukraine · Lviv · 8 years of experience · Advanced/Fluent ·Published 28 April · In passive search
I would like to work with machine translation or at least the development / fine-tuning of transformers. I am currently developing my skillset in big data, and would love to work on a project related to it and NLP.
I have experience working with AWS and am currently preparing to take the AWS Machine Learning Specialty exam.
$6000 / mo
≈ $72000 / year net
R&D Engineer/ML Engineer
Ukraine · Lviv · 4 years of experience · Upper-Intermediate ·Published 23 April · In passive search
Ukraine · Lviv · 4 years of experience · Upper-Intermediate ·Published 23 April · 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
$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.
$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''