Candidates 739
$2700 / mo
≈ $32400 / year net
Full Stack Python Engineer
Ukraine · 2 years of experience · Advanced/Fluent ·Published today
Ukraine · 2 years of experience · Advanced/Fluent ·Published today
I develop Django, Flask, and FastAPI applications using MySQL, SQLite, and PostgreSQL databases. I containerize applications using Docker, integrate messaging services with RabbitMQ, and manage the state with Redis. Additionally, I work with Hugging Face and AI technologies for web applications and Chrome extensions.
I started my career as an English teacher with the C1 level of knowledge, thus it is a piece of cake for me to create comprehensive guides, write documentation, and communicate within a multicultural team.
My Spanish language knowledge and soft skills help me to share knowledge, mentor, and bring new tools, such as Airtable for use in a team. I also wrote custom scripts to simplify the repetitive tasks for team members not familiar with code - for instance, reports gathering which previously took 3 hours per day, and email automation.
I have automated the email message sending and integrated a script with Google Sheets for automated reporting which took 3 hours per day before my improvement while mentoring a teammate from Argentina.
I have learned how to use Airtable API and created a guide for teammates along the way in just 3 days.
I have learned Python from scratch in 2 months along full-time job as a Test Engineer while being a top performer.
I have created and dockerized a Django, MySQL, and RabbitMQ application in 2 days without previous experience with RabbitMQ.
I have created a Django WebSocket React chat app with JWT tokens authentication in 4 days.
I have worked with AI for web development and Chrome extension.
Not interested in companies using employee monitoring software.
$5200 / mo
≈ $62400 / year net
Data Scientist, R programing, R+shiny programing
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday
- Developing the hourly revenue prediction system and anomaly detection, real-time mode
- Developing the auto-bidding algorithm for the optimization of CAC and ROI (san, video
networks) - ad set/country/creative level
- Recommendation of best creatives for campaigns
- Deploying models to the production (R, Airflow, Docker, slack notifications)
- Detecting cheaters by analyzing dialogs using the ChatGPT API
- Developing an application for time series forecasting
- Developing of marketing waterfall model, ROI campaigns monitoring
- Development of scoring models (R, BigQuery, PostgreSQL) - Churn Rate, Conversion Rate, Active days prediction, etc.
- Development from scratch of the anomaly detection system (R package)
- Creation of automatic system for controlling main metrics of business departments (R, BigQuery, Shiny)
Development from scratch of the anomaly detection system (R package)
$5500 / mo
≈ $66000 / year net
Senior Android Developer
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published yesterday · In passive search
• Proficient in Kotlin and Java
• Kotlin Coroutines and Jetpack Compose
• API Protocols: REST, gRPC
• Version Control: GitHub, Bitbucket, GitLab
• Design patterns
• Interested in transitioning to an ML/AI role, with a particular focus on Computer Vision
Played a key role in developing Openpay's, a leading payments fintech in Australia, mobile application which helped the company go public with over 300k active users.
Contributed to the development of ironSource's mobile app Aura, which helps mobile operators increase revenue and helped the company to go public with over 8 million active users.
Helped develop the mobile application for Reface (AI Face Swap App), a well-known Ukrainian company with over 15 million active users.
$500 / mo
≈ $6000 / year net
Full Stack Web Developer
Ukraine · 1 year of experience · Upper-Intermediate ·Published yesterday
Ukraine · 1 year of experience · Upper-Intermediate ·Published yesterday
$400 / mo
≈ $4800 / year net
Machine Learning Engineer, Deep Learning Engineer, Data Scientist
Ukraine · Kyiv · 2.5 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 2.5 years of experience · Upper-Intermediate ·Published yesterday
extensions and trained predictive models.
As a Deep Learning Laboratory Technician, I researched deep learning methods and consulted on the laboratory hardware setup.
As a Machine Learning Engineer, I analyzed the relation between financial time-series data and developed models for the rate prediction.
$2700 / mo
≈ $32400 / year net
Data Scientist / Analyst / ML Researcher
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published yesterday
Primary expertise: classical machine learning algorithms for regression, classification, clusterization problems, anomaly detection, dimensionality reduction, and time-series analysis.
Helped to increase the performance of existing models at previous work by up to 15 percentage points. Consolidated various data sources to provide a new fraud validation system. Successfully created an autoML scoring model and implemented it in production, which helped automate a significant part of the scoring analytics processes in the department of the previous company.
$8000 / mo
≈ $96000 / year net
Senior Data Engineer
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · 6 years of experience · Upper-Intermediate ·Published yesterday · In passive search
- Spark Streaming applications
- Data lakes on AWS
$8000 / mo
≈ $96000 / year net
Senior/Lead Data Scientist/Machine Learning Developer
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published yesterday
I have more than 9 years of software development experience (big corps & start ups) on roles related to machine learning, data science/engineering and R&D from scratch, last 4 years have been taking part in leading teams.
Looking for projects with real-world data and sensible business model involved in deep learning/machine learning and data streaming.
$4000 / mo
≈ $48000 / year net
Machine Learning Engineer
Norway · 2.5 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Norway · 2.5 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Salesforce Developer - 1.5 year (SF developer certificate);
Data Analyst trainee - 3 months;
Data Scientist - 7 months;
Deep Learning\ Software engineer - 9 months;
Currently: Machine Learning engineer - 5 months;
Diploma project: implementation and analysis of natural computing algorithms (harmony search, PSO, simulated annealing) for hyper parameters optimzation using Optuna framework;
ML, python and statistic certificates;
Dataquest (data analyst) course certificate;
applied in LinkedIn;
$5000 / mo
≈ $60000 / year net
Data Scientist
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
I have built the speech to text model for Azerbaijani language using dataset that we used crowdsourcing to gather.
Technologies used: kaldi, srilm, python, bash, pytorch, numpy, pandas
- Azerbaijani text to speech model:
I have built a text to speech model for Azerbaijani language using relatively clean utterances of two speakers. I used tacotron 2 and parallel wavegan models.
Tools used: python, pytorch, numpy, pandas,
- Media Monitoring project:
Wrote 200 crawlers to continuously grab news from 200 different news channels in Azerbaijan with a junior developer. Also applied generic crawlers to grab the news inside even if the html in the page changes.
Applied Similarity Detection on those news to get the unique news.
Applied Sentiment Analysis to classify those news as positive or negative.
Applied Text Classification to classify those news to different categories (Sport, Economics etc.)
Applied Named Entity Recognition to detect entities passing in the news to match them with the positive and negative news, so we can say that the name of this person or organisation is passing on negative news x% of the time.
Tools used: python, scikit, numpy, tensorflow, keras
Similarity detection, Named Entity Recognition, Sentiment Analysis, Text Classification. Tools used: python, scikit, numpy
2) I have built the first automatic media monitoring system for Azerbaijani, where I have applied, Named Entity Recognition, Sentiment Analysis, Text Classification, Keyword Extraction and Summarization.