Candidates 17
$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
$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.
$3000 / mo
≈ $36000 / year net
Data Scientist, Machine Learning Engineer, Computer Vision Engineer, R&D Engineer
Ukraine · 4 years of experience · Advanced/Fluent ·Published 11 April · In passive search
Ukraine · 4 years of experience · Advanced/Fluent ·Published 11 April · In passive search
problems, as well as on client-server system, firstly based on REST API, but then swithed to TCP/IP. Used
tensorflow/opencv/numpy/keras stack.
Worked on Computer Vision system for drones. Worked on segmentation, detection and distance estimation problems.
Used tensorflow/opencv/pytorch/numpy/ROS/Linux software stack and Intel RealSence/Intel Nuke hardware stack.
Worked as outsource Data Scientist on different client projects. Worked on high variety of Computer Vision and Natural
Language Processing tasks. Used pytorch/tensorflow/numpy/opencv/AWS/Microsoft Azure stack.
Worked as temporary AI developer for the gamedev project.
$2800 / mo
≈ $33600 / year net
Machine Learning/Data Science Engineer
Ukraine · Lviv · 3 years of experience · Upper-Intermediate ·Published 8 April · In passive search
Ukraine · Lviv · 3 years of experience · Upper-Intermediate ·Published 8 April · In passive search
At the start, I worked on some side projects: the OCR system, 3D Object Detection model, and Image Stylization with GANs.
During my employment, I worked on the Talking Head Generation system, video action registration system, Anomaly Detection on images, Text-to-video matching using neural net features, Image Inpainting, and a system for pronunciation mistakes detection.
My main stack of technologies was Python, torch, OpenCV, transformers, matplotlib, pandas, and librosa.
I had experience deploying pipelines to AWS, Replicate, and demos to the HuggingFace Spaces.
Additionally, I utilized web scraping(selenium) and developed Python apps for Windows (win32com).
$3000 / mo
≈ $36000 / year net
Data Scientist/ ML Engineer
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 4 April
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 4 April
Worked as an AI/ML Team Lead in a conversational AI project
Created end-to-end NLP solutions for document processing.
Worked on industry leading iGaming products (Compliance, geolocation, fraud prevention domains).
My BSc thesis features image deraining solution based on RES-UNet architecture and transfer learning. Working now on a MSc thesis, that provides a little different approach on music generation.
Achieved accuracy equal to the winner of 'IEEE-CIS Fraud Detection' Kaggle competition back in 2019.
Worked as a programming teacher.
$5000 / mo
≈ $60000 / year net
Data Scientist
Ukraine · 5 years of experience · Upper-Intermediate ·Published 3 April · In passive search
Ukraine · 5 years of experience · Upper-Intermediate ·Published 3 April · In passive search
Areas/task examples:
1. Time Series analysis and forecasting.
2. Portfolio optimization.
3. Writing prompts for summarizing data, explaining charts and tables, generating WhatsApp notifications. Worked with OpenAI’s API, Hugging Face models.
4. Responsible for the PostgreSQL database. Writing python utils to manage it. Writing endpoints via FastApi.
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Data Scientist at American quant fund, startup (2020-2022, 2.5 years). The central theme of similar funds is to manage partners' money by investing them across financial instruments. The decision to invest or not is made based on different mathematical, financial, and ML models.
Areas/task examples:
1. ML based predictions for stock markets. I was responsible for the process of designing and building a predictive model: defining objectives, data preparation, feature engineering, feature importance, model training, optimal params search, comparing results across ML models, sharing thoughts and recommendations on the final results.
2. Implemented my own backtesting simulator in python, statistical framework for evaluating a trading strategy, explainability and visualization utils for it.
3. I was responsible for the portfolio allocation framework, its development, improvement and exploitation of new trading ideas which utilize it.
4. Moving data around. It included writing SQL queries, processing data with pandas, aggregating data from several sources, writing sampling utils to get structured data for later
modeling.
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Data Science Intern at outsource company in Lviv (2019-2020, 1 year). My main achievement is that I worked on the two research projects in the small team, having a lot of responsibility, prepared two demo solutions, and wrote two business case studies, so potential clients can get acquainted with the projects the company can offer.
Areas/task examples:
1. Built main functions in a ranking products system based on a notion of object similarity. The similarity was defined in terms of textual, numerical features, and images.
2. Researched methods and pretrained models for a real-time motions/gestures/faces detection and recognition process. I designed the system's logic and implemented some parts of it.
My main achievement at a quant fund was that I pitched an idea for the portfolio allocation trading framework and prepared a running code for it. The result is that a couple of specific realizations of that framework got fundings and have been running live for almost two years now. I led the development of the ML model, which takes an individual trading strategy as input and assesses its risk profile. Based on this profile, you can tweak a decision of how much funds to put into that strategy.
I am looking for a company that doesn't cooperate with Russians in any form.
$7000 / mo
≈ $84000 / year net
Data Scientist
Ukraine · Lviv · 5 years of experience · Upper-Intermediate ·Published 30 March · In passive search
Ukraine · Lviv · 5 years of experience · Upper-Intermediate ·Published 30 March · In passive search
1. Natural Language Processing (NLP): My experience encompasses Named Entity Recognition (NER), Multi-label classification, Text Generation, and utilizing advanced models like GPT (Generative Pre-trained Transformer).
2. Recommendation Systems: I have successfully worked on both Content-based and Collaborative filtering techniques, along with implementing Hybrid recommendation systems for enhanced user experience.
3. Statistics: Proficient in utilizing statistical methodologies to extract insights and make data-driven decisions, contributing to project success and accuracy.
4. Computer Vision: My capabilities extend to Image Segmentation, Object Detection, and Multi-label classification within the realm of Computer Vision, achieving optimal results in various applications.
Moreover, I have a proven track record of leveraging different Cloud platforms, such as Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), to deploy and scale solutions effectively.
$2000 / mo
≈ $24000 / year net
Data Scientist, NPL engineer
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 28 March
Ukraine · Lviv · 3 years of experience · Advanced/Fluent ·Published 28 March
- NER model with Prodigy package (data preparation, labeling, modeling, error analysis, iterate)
- Geocoder (Google APIs, Pelias)
- Supervised models (xgboost, bi-lstm, transformers) for free text comparation
- Unsupervised models / custom systems for free text clustering
- A lot of tabular data (SQL)
- Cloud services (AWS, Databricks)
- Implemented geocoding pipeline from scratch using Google’s places and addresses api, created voting system as part of pipeline for selection best of multiple geocoding api outputs.
- Combined the two above projects to create ML driven system that takes news (media articles) as input and outputs location (lat-lon pair), time and actors of crime event.
- Spent significant amount of time developing tools for automatic data insight and statistics generation to make user experience more pleasant and insightful.
$4000 / mo
≈ $48000 / year net
ML Engineer/Researcher
Ukraine · Lviv · 4 years of experience · Advanced/Fluent ·Published 22 March · In passive search
Ukraine · Lviv · 4 years of experience · Advanced/Fluent ·Published 22 March · In passive search
- Clustering;
- Recommendation systems;
- Predictive analytics;
- Time series;
- NLP;
- Writing data pipelines, CI/CD;
- Working at all stages of the DS pipeline.
- Medicine/Life Science domains;
- NOT CV;
- Machine Learning positions (NOT backend, frontend, etc);
- Research position (with engineering <=50% of time);
- Non-trivial tasks/algos/ideas;
- Existing ML/DS team (NOT first ML person in the company);
- Flexibility/personal growth and development;
- Responsible AI.
$3500 / mo
≈ $42000 / year net
Data Scientist / Data Analyst / Data Journalist
Ukraine · Lviv · 3 years of experience · Upper-Intermediate ·Published 22 March
Ukraine · Lviv · 3 years of experience · Upper-Intermediate ·Published 22 March
Data Science and Machine Learning mentoring on Codementor
Tutor and mentor of Machine Learning course at LITS
Throughout career have a lot of mostly frontend javascript experience and also product manager experience.
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