Candidates 130
$2500 / mo
≈ $30000 / year net
Data Analyst
Ukraine · Kyiv · 3 years of experience · Intermediate ·Published today · In passive search
Ukraine · Kyiv · 3 years of experience · Intermediate ·Published today · In passive search
Analysis and Predicting key project metrics.
$3500 / mo
≈ $42000 / year net
Data Scientist
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published today
December 2020 - present
(February 2024) (3 years 3 months)
What I did at this job:
- played one of the key roles in establishing and streamlining a coordinated product improvement process;
- optimized the existing code what improved the quality of results by 20-30%;
- successfully launched new object detection and image classification models into production, achieving metrics of 90% or higher;
- created various supporting resources and databases.
- In-depth Descriptive Data Analysis.
- Data Preprocessing (cleaning and normalization).
- Algorithm Selection and Model Development for Classical ML, CV, and DL.
- Model Evaluation.
- Customization and utilization of pre-existing models.
- Generating informative business reports on results and benefits.
$1500 / mo
≈ $18000 / year net
Data Scientist
Kenya · 2 years of experience · Advanced/Fluent ·Published today
Kenya · 2 years of experience · Advanced/Fluent ·Published today
$3900 / mo
≈ $46800 / year net
Data Scientist
Ukraine · Kyiv · 3 years of experience · Advanced/Fluent ·Published yesterday · In passive search
Ukraine · Kyiv · 3 years of experience · Advanced/Fluent ·Published yesterday · In passive search
- NLP tasks like entity extraction, information retrieval, summarization
- Semantic search, keyword search, integratio of LLMs (experience with gpt models)
- Developed similarity scoring system based on integration of semantic and keyword search
- Delivered production-ready python projects that were subsequently used in production
- Created structured prompts for conversational chats based on gpt models
$2000 / mo
≈ $24000 / year net
CV/ML engineer
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published 3 May · In passive search
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published 3 May · 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.
$500 / mo
≈ $6000 / year net
Data Analyst
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 1 May
$2000 / mo
≈ $24000 / year net
Data Science
Ukraine · Kyiv · 2 years of experience · Intermediate ·Published 1 May
Ukraine · Kyiv · 2 years of experience · Intermediate ·Published 1 May
- Create credit scoring model using genetic algorithm
- Create scripts for automatics player bets basing on their stats distribution
- Create and support math model for fantasy sports events that predict optimal bets between 2 fantasy sports team
- Statistical data analysis, prepare data visualisation
$2000 / mo
≈ $24000 / year net
Machine Learning Engineer / Data Scientist
Ukraine · Kyiv · 2.5 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kyiv · 2.5 years of experience · Upper-Intermediate ·Published 1 May
Machine Learning Engineer, Adoriasoft, 02/2021 - 10/2021
Machine Learning Engineer, FreySoft, 11/2021 - 12/2021
NLP Researcher, Team Lead, Sandsiv+, 01/2022 - 04/2023
Consulting, freelance, 07/2023 - ...
I now have almost 3 years of experience in building ML/DL pipelines with 2.5 years of commercial experience in the field including team-leading experience.
Currently providing occasional consulting services, e.g. on the RAG project. My latest job was aimed at developing various textual NLP solutions (incl. ABSA) for the VoC platform allowing our clients to better understand their customers' feedback.
My previous position involved developing personalized marketing solutions using various NLP methods. Before that, I was working on DL-based steganography (undetectable watermarking) with different content modalities, primarily employing Computer Vision techniques.
I have experience applying LLMs and GANs to solving custom problems. In my work, I leveraged the prompting of existing models and the development of custom ones with specific training procedures like off-graph usage of non-differentiable computation blocks or Triplet loss for Siamese nets.
I'm familiar with popular frequency transforms (DCT, DFT, DWT) and know Reinforcement learning basics (DQ learning).
I have publications in professional scientific journals, in particular on the topic of ML/DS, e.g. I've proposed a way of dealing with the Peter principle in hierarchical organizations via using machine learning.
I have a general understanding of DeFi and have implemented interpretable ML-based credit scoring systems, including via SHAP values analysis.
2. Developed a novel approach to the ABSA which involved combining several solutions that were non-conventional/not intended for this task but allowed for wider and more flexible analysis. That helped our clients better understand their users' feedback by gaining a more nuanced look due to the power of DL.
3. Successfully led a junior team member towards professional growth and accommodating the specifics of the NLP R&D process.
What I don't want is ML for the sake of ML and applying AI simply as a hyped instrument.
$1500 / mo
≈ $18000 / year net
Student
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 1 May
Підготовка візуалізацій для презентацій на основі даних.
NLP, створення моделей на основі числових даних для прогнозів та графіків. Data Science, Statistics, Visualisations
Поглиблювати свої навички з використання моделей для реальних задач.
$5000 / mo
≈ $60000 / year net
Machine Learning Engineer
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 1 May
1.While working on a project for American clients, I developed a system for matching a user's action on the global network into separate user sessions. This solution was based on a set of heuristics, enhanced with machine learning techniques, including the use of deep learning (DL). As a result, we achieved a 20% improvement in the quality of session creation.
2) Data Scientist / ML Engineer for GetGrant | Remote, Lviv, Ukraine | 07/2022 - 01/2024
GetGrant - funding search service to businesses and researchers.
1. Developed from scratch a data collection system to provide service operations. Now our database contains about 4,000 active grants each month. I accomplished this using Python (Requests, Selenium, Playwright, bs4), then deployed the code on Google Cloud Platform and automated the system launches.
2. Enhanced the data collection system with a feature for filling gaps in collected data, significantly improving the quality of data and enabled the implementation of a grant search system with filters. For this system, I utilized a comprehensive stack of ML NLP technologies, ranging from creating if/else systems, Word2Vec, TD-IDF to models for classification, embedding generation, and questing answering, implemented using Transformer.
3. Improved the performance of our service's main search model, based on BERT technology, increasing the conversion rate to our business's additional services by 20%, thereby boosting overall profit.
4. Developed a system for enhancing/paraphrasing user search queries, improving user experience and boosting our key metrics. It is implemented based on Transformer and deployed as a web service on GCP using FastAPI.
5. Developed a system for assessing the quality of grant proposals based on a metric system I created, evaluated using GPT-4 and the OpenAI API.
6. Led a data labeling team of three people during the development of the system for filling data gaps. Gained proficiency in using Label Studio during this time.
3) DESY Winter School 2023 | Remote, Hamburg, Germany | 01/2023 - 03/2023
Study on the use of a Transformer neural network in the detection of tau leptons during a LHC reaction.
I gained a low-level understanding of the principles of the Transformer architecture (by creating a neural network from scratch using PyTorch), as well as working experience with remote servers using the terminal.