Candidates 726
$2000 / mo
≈ $24000 / year net
Python Developer
Ukraine · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · 4 years of experience · Upper-Intermediate ·Published today
My responsibility was:
- Developing some parts of the API
- Developing ML model
- Digital signal processing
- Improvement of the Android app
Also, I worked on creating different data collections pipelines in various fields:
- Car Rental
- Hotel
- Financial
And development API for different services.
Also, work as a Data Science specialist:
- ML/DL
- Analytics
As a Data Science specialist, my responsibilities were:
- Collecting and preparing datasets
- Development Model architecture and train models
- Verifying models results
- Model deployment and Optimization
My Skills:
- Python
- FastAPI, Flask
- PostgreSQL
- MongoDB
- Docker, Git, Linux
- RabbitMQ
- ML/DS (NumPy, Pandas, sklearn, tensorflow, keras)
- Piplines
- Data Visualisation (Matplotlib, Seaborn)
- ONNX
Take 2-nd place in Hakaton in section of "Anomaly Forest Detection"
$1500 / mo
≈ $18000 / year net
Data Scientist / Analyst
Ukraine · Lviv · 2 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Lviv · 2 years of experience · Advanced/Fluent ·Published today · In passive search
- Performed clean-up of data from various sources.
- Conducted ETL processes, created and managed relational databases.
- Automated data visualization routines.
- Analyzed and reported insights using Tableau.
- Enrolled in MSc Data Science program at Ukrainian Catholic University.
$6000 / mo
≈ $72000 / year net
Data Scientist/Engineer Team Lead, Data Freelancer
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published today · In passive search
Programming languages: R, Python, SQL;
Skills: geospatial analysis, prediction models, behaviour prediction, process mining, recommender systems, NLP, deep learning, web scraping;
Сloud computing: AWS, Google Cloud Platform;
Databases: PostgreSQL, MySQL, Mongo, Redis, DynamoDB, AWS Athena/PrestoDB, ElasticSearch, etc;
Frameworks: Tidyverse, Scrapy, Numpy, Pandas, Sklearn, Tensorflow, Keras, Pytorch, Airflow, etc;
Web: Flask, Django, CoffeeScript, Flexdashboard, Shiny;
Cluster computing: Apache Spark;
Geospatial: Postgis, QGis, R packages, geopandas;
Project management: Scrum, Kanban, LeanDS;
LLM: LangChain
Other: Docker, Git, Jira/Trello, Nuclino.
$5500 / mo
≈ $66000 / year net
Data Scientist | Machine Learning Engineer
Armenia · 5 years of experience · Advanced/Fluent ·Published today
Armenia · 5 years of experience · Advanced/Fluent ·Published today
I have a portfolio of successful projects in Natural Language Processing, Computer Vision, Recommender Systems, and more. I have also experience in MLOps.
Little info about my projects:
- Entity recognition and relation extraction from legal PDF documents using multimodal models (LLMs + vision transformers)
- Detection of violations in housing descriptions using LLMs and chatGPT
- Person Detection and Tracking on a Video using (YOLO + Kalman Filter Tracker)
- Classification/Segmentation models on images
- Google search query classification
- Predictive modeling of consumer liking
- MLOps platform for model monitoring using Grafana and Prometheus
- Recommender system for suggesting coding lessons
$8000 / mo
≈ $96000 / year net
Software Engineer / Machine Learning Engineer
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published today · In passive search
I have 9+ years of experience in IT in different roles: DevOps engineer (5 years), Python Back-end engineer (4 years), ML engineer (2+ years), Technical Lead (1 year). Such broad experience makes it possible for me to speak the same language with different engineers and understand them, which is very important while collaborating inside a team or a company. As an ML engineer, I'm able to not only train models in Jupyter notebook but also know how to convert business goals into technical tasks, design, and build the whole production system with ML models and surrounding infrastructure. Besides that, I have strong math and statistical background, and terms like "Central Limit Theorem", "p-value", "probability distribution" wouldn't scare me at all. I mean that I'm confident in doing complicated data analyses and sophisticated feature engineering.
I have experience in building two big software projects from scratch. One of them is the ML project, where I had a Tech Lead role (leading a team of 4 ML engineers). On that project, I designed the whole system (ML models, data pipelines, monitoring, analysis tools) and implemented it with the team from the first commit in git till the continuous deployments on production.
In my next journey, I was invited into a project in which research kind of work was already done and at that time we have to go into productions with a few hundred models. The main challenge was to organize previous research work in clean efficient production-ready code and set up engineering pipelines in a way, where we can simultaneously train dozens of models and receive feedback (performance metrics) as soon as possible. As a result, we decreased all models' training time from around 24 hours to 30 minutes.
The ideal management, for me, is clear, transparent, with common sense in the first place, without micro-management, time tracking, etc. I like when managers treat people as mature adult individuals and assess their work by the results.
Ideally, expect to have an opportunity with all above mentioned and where my broad experience is needed.
$4800 / mo
≈ $57600 / year net
Data Science
Ukraine · Kyiv · 5 years of experience · Intermediate ·Published today · In passive search
Ukraine · Kyiv · 5 years of experience · Intermediate ·Published today · In passive search
Full cycle of predictive model development: data preprocessing, feature selection, hyperparameter tuning and testing of non-linear and linear algorithms, ensuring seamless deployment and optimal performance.
Created and supporting product for online client checks according to financial monitoring recommendations that resulted in a 30% reduction in customer onboarding time (Azure)
Full circle of analytical reporting systems (ETL, Sql, Python, Bi, ets)
Actively engaged in business development and financial strategy discussions, providing valuable insights and strategic recommendations
Conceptualized, developed, and maintained online financial product (part with onboarding new client with analytic for every step)
Collaborating with partners to secure new data sources and write technical specifications.
Research, calculate business values and develop ML models for marketing, Collection, liveness detection, signature similarity ets
Team lead of small command
Kaggle experience (bronze medal with own solution)
$600 / mo
≈ $7200 / year net
Junior Data Scientist & Machine Learning Engineer & Python Developer
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published today
Ukraine · Lviv · 2 years of experience · Upper-Intermediate ·Published today
$7000 / mo
≈ $84000 / year net
Data Scientist
Ukraine · 5 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Ukraine · 5 years of experience · Upper-Intermediate ·Published yesterday · In passive search
Data Scientist / ML Engineer: more than 5 years of experience in NLP
Worked with BERT, T5, GPT-neo, Transformers, and different architectures of Neural networks to solve NLP issues.
Created a couple of chatbots and knowledge base engines with Gen AI / LLMs (Open AI API, GPT-3.5, GPT-4, GCP PaLM)
Love the full cycle of development of ML models.
PhD student in the field of Computer Science
AWS Certified ML Engineer
Certified Tensorflow developer
Lots of freedom and independence,
Ability to work with specialists that are better than me to study from them
Start-of-the-art NLP
MLOps tasks, Open AI, Generative AI.
$1300 / mo
≈ $15600 / year net
Data Scientist
Azerbaijan · 2.5 years of experience · Upper-Intermediate ·Published yesterday
Azerbaijan · 2.5 years of experience · Upper-Intermediate ·Published yesterday
Main focuses are on Machine Learning Algorithms, Python programming language, building recommendation systems, implementing models,building dashboards.
My responsibilities include:
•Implementing Machine learning algorithms for building models in Python
•Building recommender system from scratch
•Data analysis and data anomaly detection
•Using Apache Superset for Data visualization and exploring
Using data analytics/data science tools from 2019.
-Participated in several hackathons and won first place.
Previously, worked as Business and Data Analyst - the primary focus was on Python programming language, data visualization tools (Microsoft Power BI), Microsoft Excel. My responsibilities were:
•сreating new and improving existing dashboards
•providing and visualization performance metric
•Data cleaning/Dashboard and visualizations in Power BI
•Data exporting using SQL queries(Oracle SQL)
•Data analysis and data-driven decision-making
•Presenting results to non-technical stakeholders
2. Hackathon Energy Crisis and Cyber Security- Winner 2nd Place
$1500 / mo
≈ $18000 / year net
Data Scientist, ML Engineer, Data Analyst
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
Azerbaijan · 6 years of experience · Advanced/Fluent ·Published yesterday
In my professional tenure, I have effectively led teams and projects, translating complex data into actionable business strategies. My approach is characterized by a blend of analytical rigor and a deep understanding of how data can inform and drive business growth.
As I navigate through my master's program, I'm not only deepening my technical capabilities but also acquiring cutting-edge knowledge that keeps me at the forefront of data science innovation. My aim is to leverage this knowledge in a dynamic environment to deliver solutions that propel organizational success.
I am eager to engage with professionals and organizations that value the transformative power of data and are looking for a forward-thinking partner to navigate the complexities of the digital landscape.
In my professional career, I have embraced diverse roles that have allowed me to leverage my knowledge and skills effectively. As a Data Science Instructor at the Data Science Academy, I was responsible for designing and delivering comprehensive courses, creating materials, and mentoring students. This role allowed me to stay at the forefront of data science trends and techniques.
At QSS Analytics, I served as a Data Science Manager, leading a team of talented data scientists and analysts. My responsibilities included overseeing the data analysis process from inception to execution, ensuring high-quality results and actionable insights.
As a Co-Founder of tecfeed.co, I ventured into the entrepreneurial world, focusing on educating and inspiring youth about technology and science. This experience has been particularly rewarding, allowing me to combine my passion for technology with my drive to make a meaningful impact.
My participation in the McKinsey & Company Pro Hack was a significant milestone, providing me with an opportunity to showcase my problem-solving skills on an international platform. Additionally, I have undertaken projects such as creating an interactive Tourism Satisfaction Analysis dashboard with Tableau and developing a Default Risk of Subscribers Project, which have further honed my analytical and technical skills.
I am well-versed in a variety of technical tools and languages, including Python, R, Tableau, Power BI, Oracle SQL, SPSS, Big Data Hadoop, PySpark, FastAI, Docker, Streamlit, Shiny, PyTorch, CSS, and HTML. These skills have been essential in my data science journey, enabling me to tackle complex projects with confidence.
My ability to communicate in English, Azerbaijani, Turkish, Italian, Russian, and Spanish has been invaluable in my professional growth, allowing me to work effectively in diverse international environments.
Team Collaboration: I thrive in environments where teamwork and collaboration are encouraged, and I look forward to being a part of a cohesive unit that values each member's contribution.
Work-Life Balance: A balanced life is crucial for productivity and creativity. I expect the company to respect personal time and understand the importance of a work-life balance.
Recognition: I believe in putting my best foot forward, and I would appreciate it if my efforts and contributions are recognized and rewarded