Candidates 26
$8000 / mo
≈ $96000 / year net
Senior/Lead Data Scientist/Machine Learning Developer
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published today
Ukraine · Kyiv · 10 years of experience · Advanced/Fluent ·Published today
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.
$5500 / mo
≈ $66000 / year net
Data Scientist / Data Engineer
Ukraine · 5 years of experience · Advanced/Fluent ·Published yesterday
Ukraine · 5 years of experience · Advanced/Fluent ·Published yesterday
- Image segmentation and object detection models (UNet, DeepLabV3+, YOLO, Vision Transformers, customized architectures, etc.)
- Transfer learning and semi-supervised learning techniques
- Classical image processing and preprocessing techniques: histograms, thresholding, edge detection, textural feature extraction, clustering, and distributions.
- Processing tabular data from various domains including finance, medical records, tests, and wearable devices.
- Machine learning algorithms: decision trees, random forests, XGBoost, Naive Bayes, SVM, linear models.
- Unsupervised learning methods: dimensionality reduction, clustering (e.g., Gaussian mixtures, k-means), distribution-based.
- Building ensemble models.
- Math, statistics.
- Science-based solutions.
- AWS, Serverless (Lambda, API Gateway, AppSync (GraphQL), RDS, Cassandra, VPC, EC2, Kinesis, Glue, Athena, SageMaker, DynamoDB, Comprehend etc.)
- Python (torch, tf, numpy, pandas, plotly, matplotlib, asyncio, sklearn, django, flask, ORMs).
Cloud Backend Engineer, Data Engineer | 2021-now
ONVY HealthTech
- Implemented algorithms and data pipelines for real-time data processing from various wearable devices (Garmin, Oura, Apple Watch, Polar, etc.) using ML for health management.
- Designed and implemented cloud infrastructures using Serverless, AWS and Python for efficient ETL processes and a robust application backend.
- Set up and managed data lakes and data streams.
Co-head of the Artificial Intelligence team. Deep Learning Engineer | 2019-now
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
- Leveraged and created CV, ML and DL techniques for diagnosing tuberculosis, osteoporosis, infective endocarditis, and brain diseases in collaboration with the National Institute of phthisiology and pulmonology named after F.G. Yanovsky NAMS of Ukraine, Riga Stradinš University, The Heart Institute of Ukraine, Amosov National Institute of Cardiovascular Surgery, Romodanov Neurosurgery Institute NAMS of Ukraine.
- Processed military intelligence data from UAVs with CV, contributing to strategic decision-making and security operations.
Technical Team Lead. Cloud backend engineer | 2019-2021
2701323 Ontario Ltd
- Designed and built robust AWS cloud architectures for media-rich web application.
- Developed efficient backend systems to manage and process media content, with a focus on scalability and performance.
- Successfully led and managed a small technical team
- Developed and managed data pipelines and application backends to ensure efficient and scalable solutions.
- Experienced in working with various data types (images, tabular, etc.) in a variety of fields (healthcare, finance, military, etc.).
- Collaborated with leading medical institutes in Kiev to develop intelligent diagnostic systems based on computer vision.
- PhD student (Computer Science, Artificial Intelligence)
- Co-lead and core engineer of an AI-based R&D team at the main technical university of Ukraine
- 1st place in scientific research projects across Ukraine in the field of AI
$8000 / mo
≈ $96000 / year net
Software Engineer / Machine Learning Engineer
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published 24 April · In passive search
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published 24 April · 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.
$4000 / mo
≈ $48000 / year net
Computational Linguist / NLP Specialist
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published 23 April · In passive search
Ukraine · Kyiv · 5 years of experience · Advanced/Fluent ·Published 23 April · In passive search
$8000 / mo
≈ $96000 / year net
Data Scientist/Quantitative Analyst
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published 22 April · In passive search
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published 22 April · In passive search
Data Scientist, 2020 - present
Corporate bonds pricing and trading
Wrap Technologies, New York, NY
Data Scientist, 2018 - 2020
Developing and integrating ML and AI components
Fort L.P., New York, NY
Director - Research, 2013 – 2017
Futures and equities trading
Toro Trading LLC, New York, NY
Director - Volatility Trading, 2011 - 2013
Options market making
Cutler Group, New York, NY
Director - Volatility Trading, 2010 – 2011
Options market making
Vtrader Group, Chicago, IL
Quantitative Analyst - Volatility Trading, 2007 – 2010
Options market making
Third Millennium Trading, Chicago, IL
Quantitative Analyst - Volatility Trading, 2003 – 2007
Options market making
Timber Hill / Interactive Brokers, New York, NY
Analyst, 2000 – 2002
Options market making
“Volatility arbitrage visualization using augmented reality”
“Understanding VIX Futures and Options”
“Trading with Leveraged and Inverse ETFs”
$8500 / mo
≈ $102000 / year net
senior data scientist; scientific computing/machine learning developer
Czechia · More than 10 years of experience · Advanced/Fluent ·Published 19 April · In passive search
Czechia · More than 10 years of experience · Advanced/Fluent ·Published 19 April · In passive search
15+ years: python(scikit learn,numpy, scipy, pandas, pytorch), development of machine learning, statistical and mathematical applications, algorithms of numerical analysis, signal processing, cryptocurrencies fraud detection
7 years: usage of mathematics, machine learning, statistics for various development tasks
3 years: c++/scientific computing/computational fluid dynamics
BSc in physics, MSc in math;
MEng in aerospace engineering from a top western school
I am currently based in Prague
social network analysis system to predict chosen parameters of network members, estimate the dynamics of information diffusion in a situation of limited knowledge of the structure of network. methods: log regression, NN, SVM, clustering algorithms, graph algos+custom solutions, Monte Carlo.
sports prediction systems
nonstandard recommender systems(ideas from math analysis).
signal processing+spectroscopy+machine learning
cyber threat detection systems.
non-standard and customized clustering algos, customized anomaly detection for computer vision.
crypto currencies anomaly detection.
predictive maintenance, synthetic models based on mechanical engineering equations and productionalization of algorithms.
matlab to python/c++ conversions.
VaR calculations
data science/machine learning, mathematical modeling, aerospace engineering
$3500 / mo
≈ $42000 / year net
Data Scientist / Data Analyst
Ukraine · 9 years of experience · Advanced/Fluent ·Published 19 April
Ukraine · 9 years of experience · Advanced/Fluent ·Published 19 April
- Between 2017 and 2019, I have worked in Sweden as a Data Scientist at Ubisoft, a large video games publisher, for two years, building an Analytics and DS pipeline for a AAA game from scratch. That included designing tracking events, overseeing implementation, testing and usage for reporting.
- During my time in Sweden, I built a user segmentation ETL using Python, SQL, PySpark and Hive to cluster video game players using an unsupervised ML model - it was a combination of KMeans and AGNES. I presented my approach on 3 large DS conferences - one in Stockholm, one in San Francisco and one in Malmo. I have also built a recommendation engine to recommend in-game items to players using ALS algorithm.
- Between 2019 and 2021 I have been the first Data Scientist at a Warner Brothers video games studio in London - I have set up a Data Collection, Analytics and Reporting pipeline using Amazon Redshift, Airflow, Python and Looker from scratch, while also hiring, onboarding and managing a team of 4 analysts.
- I have also been a DS consultant to a US-based sports analytics startup for a 3.5 year period till it got acquired, where I was part of the team building entire DS pipeline from scratch.
• Deployed one of approaches above using Spark, Hive and Impala SQL thereby delivering weekly insights to several stakeholders on completely automated basis via Tableau dashboards and various reports.
• Presented other segmentation approach at Machine Learning Innovation Summit 2018 in San Francisco, Data Innovation Summit 2018 in Stockholm and Nordic Games 2018 in Malmö to audiences of 200-600 attendees
I really appreciate nice people, open communication, openness to feedback and flexibility.
$3800 / mo
≈ $45600 / year net
Data Analyst/Scientist
Netherlands · 5 years of experience · Advanced/Fluent ·Published 16 April
Netherlands · 5 years of experience · Advanced/Fluent ·Published 16 April
Examples of projects/tasks I accomplished: analysis of problematic steps in a user journey and improving
client conversion to target action in the product, clustering of client financial and web behavioral data, creating dashboards and aggregated tables, improving report performance etc.
I am looking for a data analyst/scientist position, also I can take a short-term project.
$5000 / mo
≈ $60000 / year net
Python/ML/DS/DevOps
Sweden · 5 years of experience · Advanced/Fluent ·Published 15 April · In passive search
Sweden · 5 years of experience · Advanced/Fluent ·Published 15 April · In passive search
Internet of Thins (IoT) cases, covering Markets in Europe, North America and Middle East.
toolbox: Python + Machine Learning + Excel
AWS Certified SysOps Administrator – Associate
AWS Certified Developer – Associate
AWS Certified Solutions Architect – Associate
Deep Learning Specialization - DeepLearning.AI
$14000 / mo
≈ $168000 / year net
Head of AI/ML
Indonesia · More than 10 years of experience · Advanced/Fluent ·Published 14 April
Indonesia · More than 10 years of experience · Advanced/Fluent ·Published 14 April
My main areas of expertise include:
- Computer vision.
- Natural language processing and understanding.
- Reinforcement learning.
- Quantitative research.
As a machine learning lead from August 2020 to June 2022, I mentored and led a team of three engineers from the company's foundation to its first customers. I defined architecture and the models for NLP and CV training to detect Personal Identifiable Information (PII) in documents such as text, PDFs, and images. I established the project architecture for the ML services and managed end-to-end feature deployment and testing on Kubernetes clusters.
During my time as a machine learning lead from September 2018 to August 2020, I worked on motion planning (3D navigation) problems on robotic devices. My responsibilities included planning the roadmap, assigning tasks, mentoring, making project presentations, and defining the code architecture. I researched and improved deep reinforcement learning (RL) algorithms, trained deep RL agents in simulation environments such as Habitat and MINOS, and deployed trained motion planning agents on robotic devices. In addition, I was an invited speaker at the 2019 CVPR workshop, recognized as one of the top performers in the Habitat 2019 challenge held by Facebook AI (Meta).
From June 2016 to August 2018, I worked as a machine learning engineer in Kyiv, Ukraine, where I focused on computer vision problems. My work included training object detection and classification deep learning models, such as Faster RCNN and Inception-ResNet-v2. I also trained instance-aware segmentation deep learning models, such as Fully Convolutional Instance-aware Semantic Segmentation, and mentored interns.