Candidates 76
$700 / mo
≈ $8400 / year net
Data Scientist
Ukraine · Kyiv · No experience · Intermediate ·Published today
Ukraine · Kyiv · No experience · Intermediate ·Published today
1) Software for recognizing basic human emotions
in text: Bachelor`s thesis, analysis of existing methods for text analysis, implementing and testing Neural Network model(LSTM) for this problem, analysis results.
Technologies : Python (tensorflow, sklearn, pandas, numpy)
2) Software for detecting ships. Building a model for semantic image segmentation, using U-net architecture(CNN).Training model and making inference. Technologies:Python(Tensorflow, sklearn, pandas, numpy, matplotlib)
3) Computer Vision pet project: using cv for detecting objects and calculate coordinates by thermal-vision. selection of masks and their parameters, finding contours and convex hull, calculation of coordinates, and output of results.
Technologies : Python (opencv, numpy)
$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.
$800 / mo
≈ $9600 / year net
Data Scientist
Ukraine · Kyiv · No experience · Intermediate ·Published yesterday
Ukraine · Kyiv · No experience · Intermediate ·Published yesterday
$600 / mo
≈ $7200 / year net
Data scientist
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published yesterday
was conducting extensive research, developing systems, and analyzing
the market landscape. Following this phase, I transitioned into a
team responsible for the development of a Telegram bot. This role
involved implementing innovative solutions and features within the
bot framework to enhance user experience and functionality. Through
collaborative efforts, we aimed to create a seamless and effective
platform for our users.
$400 / mo
≈ $4800 / year net
Trainee Machine Learning Engineer
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published 22 April
Ukraine · Kyiv · No experience · Advanced/Fluent ·Published 22 April
- Tutoring experience: taught mathematics to high-school students of different age.
Strive to develop in Machine Learning and Data Science, eager to gain new skills and knowledge. L
- Currently studying at Taras Shevchenko National University of Kyiv, in my third year of undergraduate studies in Applied Mathematics.
$800 / mo
≈ $9600 / year net
Data Scientist
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published 22 April
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published 22 April
$700 / mo
≈ $8400 / year net
Machine Learning Engineer
Ukraine · Kyiv · 6 months · Advanced/Fluent ·Published 22 April
Ukraine · Kyiv · 6 months · Advanced/Fluent ·Published 22 April
- Researched how ONNX Runtime can be used to improve the inference time.
- Exported six computer vision models to ONNX and achieved an improvement of an average inference time by 20%.
- Contributed to an open source library by adding an API for exporting and running PyTorch models in ONNX Runtime.
$800 / mo
≈ $9600 / year net
Data Scientist/Analyst
Ukraine · Kyiv · 6 months · Advanced/Fluent ·Published 22 April
Ukraine · Kyiv · 6 months · Advanced/Fluent ·Published 22 April
•Maintained daily monitoring and commenting of VaR and margin exceptions in prime brokerage portfolios for Risk Management group.
•Prepared quarterly reports for the portfolios and assisted in explaining numbers of market driven exceptions to comply with Basel Accord.
•Developed in python (pandas) a tool to discriminate between market- and typical data-driven exceptions and to comment on them.
•Systematized data-driven exceptions and communicated detected issues to the IT team for resolution.
COURSEWORK
UCSD:
Convex Optimization and Applications Spr ’15
Applied Statistics Wint - Spr ’15
Design and Analysis of Algorithms Wint ’15
Machine Learning A,B Fall ’14 - Wint ’15
The Mathematics of Finance Wint ’14
Nonequilibrium Statistical Mechanics Wint ’14
Computational Physics Fall ’13
Coursera:
Algorithmic Toolbox Spr ’16
Applied Machine Learning in Python Fall ’17
Introduction to Data Science in Python Fall ’17
Math and Python for data analysis Fall ’19