Candidates 310
$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.
$2000 / mo
≈ $24000 / year net
Data Scientist
Austria · 2.5 years of experience · Upper-Intermediate ·Published 2 May
Austria · 2.5 years of experience · Upper-Intermediate ·Published 2 May
- Recommendation System for ATM/SST Installation.
developing a system to predict profitability for any location across the country - PoC: Use LLM for unit tests.
conducting research on using Large Language Models (LLMs) to generate unit tests for covering legacy code - Customer churn prediction.
based on transactional data, predicting the churn probability score for specific customer segments - PoC: Customer geotargeting.
Predicting routes, times, and locations based on customer geospatial data
$2000 / mo
≈ $24000 / year net
Middle Data Scientist / ML engineer
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published 2 May
Azerbaijan · 3 years of experience · Advanced/Fluent ·Published 2 May
My experience includes:
* Signal Processing: Specialized in handling high-frequency signals, utilizing both temporal and spectral analysis methods to derive essential features. These efforts enabled the construction of training datasets, boosting the accuracy and effectiveness of our machine learning models. This advanced signal processing has streamlined data handling and enriched customer's analytical capabilities.
* Time Series Analysis: Specialized in analyzing real-time, multivariate data streams to detect events and trends as they occur. Developed algorithms capable of handling simultaneous signal inputs, enhancing the immediacy and accuracy of event detection. This capability has been crucial for dynamic decision-making and has significantly improved response times and operational effectiveness.
* Machine Learning Model Development: Developed and fine-tuned machine learning models that enhance forecasting precision and streamline business processes. This work has significantly boosted the quality of insights and operational outcomes.
* Data Engineering Pipelines: Designed and optimized pipelines for efficient data collection, transformation, and storage. This work has enhanced data flow and accessibility, supporting timely and informed decision-making across the organization.
* Automation of Routine Tasks: Developed and implemented Python-based automation tools to streamline repetitive and manual data processes. These innovations have significantly reduced time spent on routine tasks, increased accuracy, and freed up resources for higher-value activities.
$2000 / mo
≈ $24000 / year net
Junior Data Analyist/Scientist
Azerbaijan · 2.5 years of experience · Advanced/Fluent ·Published 2 May
Azerbaijan · 2.5 years of experience · Advanced/Fluent ·Published 2 May
$2000 / mo
≈ $24000 / year net
Machine Learning Engineer
Ukraine · 2 years of experience · Upper-Intermediate ·Published 2 May
Ukraine · 2 years of experience · Upper-Intermediate ·Published 2 May
Freelance June 2022 - Present
• Executed 50+ ML Projects: Spearheaded over 50 diverse machine learning projects, achieving significant improvements in data analysis and
predictive modeling across various datasets.
• Advanced Computer Vision and Deep Learning: Developed and implemented innovative solutions in computer vision (e.g., face and X-ray
recognition) and deep learning, contributing to practical applications like autonomous vehicle navigation and AI game strategies.
• Trained LLMs for NLP Enhancement: Proficiently trained multiple Large Language Models, enhancing natural language processing
capabilities, and achieving marked improvements in AI language understanding and interaction.
$3000 / mo
≈ $36000 / year net
MLOps Engineer / Data Engineer
Ukraine · 2.5 years of experience · Upper-Intermediate ·Published 2 May
Ukraine · 2.5 years of experience · Upper-Intermediate ·Published 2 May
Fractal Analytics | Dec 2021 - present
- Engineered a Models Monitoring solution integrated into existing Vertex AI pipelines using Cloud Monitoring, Cloud Logging, BigQuery, Looker Studio etc. This initiative helped to assess the robustness and performance of the deployed models on a regular basis.
- Orchestrated end-to-end MLOps pipelines setup and deployment on Vertex AI, including the establishment of CI/CD pipelines.
- Played a key role in the migration project, moving data and ML pipelines from Airflow to Vertex AI. Contributed to the development and optimization of pipelines using the KubeFlow SDK. I utilized various GCP services and worked on CI/CD pipelines.
- Assisted in the migration of data from legacy storage to GCP, employing SQL for data transformation and loading.
Data Analyst
City Development Solutions | Sep 2020 - Feb 2021
Responsibilities:
- Data collection, cleaning and processing
- Analysis of real estate market objects
- Plotting graphs, creating reports
Achievements:
I've automated and sped up the process of collecting information using Python
$3000 / mo
≈ $36000 / year net
AI Engineer
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published 1 May
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published 1 May
- Developed an AI travel assistant for generating personalized travel itineraries based on user
preferences and constraints with RAG approach.
- Created custom NER model with Spacy framework for analyzing pdf documents.
- Utilized such NLP concepts as fine-tuning, prompt engineering, LLM Agents, and speach-to-text
models. Deployed solutions on AWS cloud.
##### WINSTARS.AI #####
- Participated in the development of the Flask-based web application in the medical field. Created ML pipeline based on the image transformer model (CoaT) to assess the degree of the skin disease.
- Took a part in the project dedicated to drug discovery in bioinformatics. Utilized graph neural
networks to predict the properties of molecular compounds.
- Deployed AI solutions on AWS cloud using IaC approaches including Terraform and AWS SAM.
Worked on creating ML solutions to improve real-time bidding system for advertising auctions.
##### NIX #####
Created models with scikit-learn and LightGBM, and provided end-to-end solutions for optimizing
ad investments.
Conducted research on the TabTransformer model and the possibility of using deep learning
models over boosting ones for tabular data.
- Machine Learning Specialization | Coursera
- TensorFlow: Advanced Techniques Specialization | Coursera
- Bayesian Machine Learning in Python: A/B Testing | Udemy
Achievements:
- All-Ukrainian Collegiate Programming Contest - 2d stage
(Ranked 37 / 264)
- All-Ukrainian Mathematical Olympiad - 1st stage
(Ranked 4 / 115)
$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
$1500 / mo
≈ $18000 / year net
Prompt Engineer, Data Analyst, Data Engineer, Data Scientist
Ukraine · 2 years of experience · Pre-Intermediate ·Published 1 May
Ukraine · 2 years of experience · Pre-Intermediate ·Published 1 May
Integration of ChatGPT 3.5-4 Turbo API for text messages analysis.
01.12.2023 - ...
Skills: Analytical · ML · DS
Software: GCP, Docker, AirFlow, Pandas · SciPy · Scikit-Learn · Plotly · GCP (FastAPI, Cloud Functions, storage, ...).
Data Scientist, ML engineer.
Global machinery company "SKF"·
10.01.2023 р. – 25.11.2023 р.
Skills: Analytical Skills · ML · DS
Software: Pandas · SciPy · Scikit-Learn · Matplotlib · Plotly · AWS(Lambda, sagemaker, s3, ec2)
Python Developer, Data Analyst
01.11.2021 р. – 15.12.2022 р.
Analysis and forecasting of financial markets, server code development end data science devops.
Skills: Data Analysis · Statistical Data Analysis · Big Data Analytics · Data Visualization · Software: Pandas· Scikit-Learn · Matplotlib · Plotly · SQL
CTO (технічний директор)
Дженерал Україна ·
01.01.2012 р. – 01.10.2021 р.
Київ, УкраїнаКиїв, Україна
Installation management of engineered systemsin construction.
Development of microcontrollers for engineering systems, programming and service support
Skills: Microcontrollers · ESP32 Microcontrollers · Microcomputers · SQL · Python