Candidates 102
$400 / mo
≈ $4800 / year net
Python Developer
Ukraine · Lviv · No experience · Upper-Intermediate ·Published yesterday
Ukraine · Lviv · No experience · Upper-Intermediate ·Published yesterday
agency, leveraging Python and a stack of other technolo-
gies, such as Flask framework, SQLAlchemy, alembic,
marshmallow, MySQL and pytest.
$6500 / mo
≈ $78000 / year net
Lead/Senior DevOps Engineer
Ukraine · Lviv · 8 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Lviv · 8 years of experience · Upper-Intermediate ·Published yesterday
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
$2000 / mo
≈ $24000 / year net
CV/ML engineer
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published yesterday · In passive search
My technical skills are complemented by excellent problem-solving abilities, effective communication skills, and a strong work ethic. I am a quick learner who enjoys working in a dynamic and challenging environment and am always eager to learn new skills and technologies.
$5000 / mo
≈ $60000 / year net
Senior Python Engineer + CV/ML
Ukraine · Lviv · 9 years of experience · Upper-Intermediate ·Published 2 May · In passive search
Ukraine · Lviv · 9 years of experience · Upper-Intermediate ·Published 2 May · 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)
$700 / mo
≈ $8400 / year net
Junior AI Developer
Ukraine · 6 months · Upper-Intermediate ·Published 1 May
Ukraine · 6 months · Upper-Intermediate ·Published 1 May
Key Skills:
- Python (Pandas, NumPy, Seaborn, matplotlib);
- SQL (PostgreSQL);
- Tableau;
- Algorithms and data structures;
- NLP (spaCy, nltk, pycld2).
Experience:
- Meduzzen and U2D AI Internship (Dec. 2023 - Jan. 2024).
Software Engineering student at Lviv Polytechnic National University.
NLP - natural language processing with Python
Jose Portilla (Udemy)
$1500 / mo
≈ $18000 / year net
Data Scientist / Data Analyst
Ukraine · 1.5 years of experience · Advanced/Fluent ·Published 30 April
Ukraine · 1.5 years of experience · Advanced/Fluent ·Published 30 April
I have gained professional experience in different international internships, one of the most recent ones ones being in Toronto, Canada and England, UK. My latest experience was at research projects at one of the top universities in the world (University of Toronto) with world-renowned professors. One of my latest projects was in Financial analytics and Data science, where I have been combining LLMs and financial data in one realm.
My previous experience also includes performing exploratory data analysis on large datasets, developing predictive models, deriving insights, creating dashboards and presentations with visualisations.
I am fluent in English, which along with my open-minded personality helps me to cooperate with teams all over the world. Being both a team-player and an individual worker helps me to get easily used to the environment and deliver better results.
I have successfully developed several solo and team projects in the university too. Those included database processing, implementing effective algorithms on different data structures, creating models in Python and applying distinct APIs to improve the experience of the user of the program (e.g. Microsoft Azure API, Trello API). I also implemented a project on Neural Networks and Deep Learning from the course on the Coursera platform, and was an active attendee of Lviv Data Science summer school 2021.
As far as I worked on different projects and finished distinct courses, I have a clear mind of which spheres I want to develop in. Currently my biggest interests are Data Science, Data Analytics, and Machine Learning.
Together with a team, I became finalist of the hackathon from UCU in 2021. I contributed to providing a website for organising a convenient team working environment via JavaScript with Trello API integration.
My major achievements include not only technical ones. I have an advanced level of English and an upper intermediate one Spanish level. I've participated in international projects and cooperated with native speakers. Currently, I am focusing on learning French, which I believe will help me in my professional development when cooperating with people from other cultures.
$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
$600 / mo
≈ $7200 / year net
Data Scientist
Ukraine · No experience · Upper-Intermediate ·Published 29 April
Ukraine · No experience · Upper-Intermediate ·Published 29 April
I completed an internship at GlobalLogic, the purpose of which was the development of the "car`s traffic sign recognition" project. The part of the project I was responsible for was training artificial intelligence to recognize road signs in real time. Got the following skills:
Pattern recognition. OCR technology. Python samples
CV. Technologies of machine vision. OpenCV, TensorFlow, Keras, Pytorch.
$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.
$600 / mo
≈ $7200 / year net
Data Scientist
Ukraine · Lviv · 1 year of experience · Upper-Intermediate ·Published 29 April
Ukraine · Lviv · 1 year of experience · Upper-Intermediate ·Published 29 April
Projects:
Road Traffic Accidents Analysis /
- Detection of road traffic accidents (RTA) in real-time using the YOLO model for single class detection
- A system for sending RTA data via a Telegram bot
- Vehicle tracking using ByteTrack to avoid misinformation about fake RTAs
- A custom dataset of 2259 images with various types of RTAs compiled using Roboflow
Wild Animal Detection using Deep Learning /
- Animal detection using a modified version of the OverFeat model
- Creation of classification and regression part of model using Keras
- Dataset of wildlife cameras' images from Roboflow