lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 5 years | English: upper

Master's degree in Computer Science;
TOP30% on Kaggle competition Global Wheat Detection Computer Vision problem using FasterRCNN and EfficientNet;
TOP50% on Kaggle competition Plant Pathology Computer vision problem using resnet18.
8+ YoE in Software Engineering;
5+ YoE in Data Science & Machine Learning;
MSc in Computer Science;
English: Upper-Intermediate.

Projects:
- Golf club shot detection: data ingestion, feature engineering, model training/validation, model deployment;
- Machine Learning system in Healthcare: fault prediction in dialysis system;
- Data Engineering: Telecom ETL pipelines migration to cloud;
- CRM rule-based lead scoring.

Python 3.6: PyTorch, Pandas, NumPy, Scikit-learn, OpenCV;
Cloud computing: AWS, GCP;
Databases: MySQL, PostgreSQL, Oracle, Amazon Athena, Cassandra;
Amazon Web Services: boto3, AWS S3, AWS Athena;
Google Cloud Platform: BigQuery, Google Cloud Storage, Data Fusion;
Data Visualization: Matplotlib, Seaborn, Bokeh, Tableau;
Project management: Scrum, Kanban, CRISP-DM;
Other: Jupyter Notebooks, Git, Linux, Ansible.
Looking for a job in a team of data science professionals to share knowledge.
Position: Senior Machine Learning Engineer
Category: Python
Experience: 9 years | English: fluent

- 9 years of development: Computer Vision, Machine Learning
- 3 year of leading and managing research and development: average teams and startups
A mobile C2C marketplace 

Computer Vision Team Lead with individual contribution December 2016  - July 2019

Led R&D department, built deliverable team (from 2 to 8 engineers), implemented CV-stack that includes goods classification, tags system, similarity search, instance segmentation, text-detection & OCR, price prediction, and ecosystem around that provides continues models update based on the influx of users data. Such update dramatically reduced the cost of the model's maintenance and time before new release from days to hours. I contributed as a team manager as well as an individual contributor  

Tech-startup with A-round funding, comparable to Snapchat 			                           

Computer Vision Team Lead with individual contribution		                        August 2016 – December 2016

Led R&D team, delivered face-tracking library with accuracy equal to similar apps (MSQRD, Snapchat) at real-time performance on iOS. Implemented face-tracking core and face-alignment model from scratch, ported FT-model from desktop to mobile (iOS), optimized performance (up to 50 fps on iPhone 6s)

Stock photo agency with millions of high-quality stock photos			    	              

Machine Learning Software Engineer						       	       April 2016 – August 2016

Implemented a data clean system (drop duplicates, knn filtering with representation vectors) that led to the reduction of the number of stored images by 12% and increased classification accuracy by 8%. Increased accuracy 4% over the existing classification model (data augmentation, new model architecture Inception-v3) leading to the significantly improved  garment recognition feature	 
Proposed and implemented a POC for garment transferring (GANs, based on the paper) that introduced a new product feature
Looking for a remote job. Machine Learning / Computer Vision /  Deep Learning / Image Processing
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 7 years | English: fluent

- Built a recommendation system that allowed Ukrainians to receive jobs in Europe during the war
- Built a personalized recommender engine that increased view-to-click conversion by 17% relatively
- From scratch designed and developed service for building, storage, and retrieval of image representations for over 400k products from 112 categories.
- Graduated 140+ students from courses in data analysis? data science, programming in Python
Full-Stack ML Engineer with hands-on experience building end-to-end ML-based solutions, including all standard parts of ones: 
- preliminary requirements gathering, communication with engineering and business teams
- solution design: how ML system will be integrated into the existing product
- creating pipelines which process data from different sources and of different modalities (tabular, visual, natural language)
- deployment of ML models (Docker, k8s, AWS Sagemaker, GCP) 
- model and data version control
- data visualization, and creation of automated reporting involving predictive modeling
- creating UI (streamlit lib) to demonstrate model's abilities

Have hands-on experience with: 
- ML (time series prediction, classification, and regression on multi-modular data, anomaly detection)
- building recommender engines from scratch to production (including deployement and analysis of AB tests)
- NLP (text classification, topic modeling, keywords extraction, translation, huggingface models usage)
- CV (detection, segmentation, classification, anomaly detection, image search)
- visualization (Python/Tableau, including complex visualizations like dimensionality reduction and Sankey diagram)

Moreover: a lot of various mentoring and consulting experience, taught over 140 students data science and programming with Python, leaded data science in a non-profit project
Interested in being either a Senior-level ML project contributor or a hands-on lead of a team of engineers working on an end-to-end ML project aimed to predict customer behavior (demand/LTV/churn prediction), build recommendations, create user-to-item matching, etc.
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 5 years | English: fluent


I am experienced Data Scientist / ML Engineer who worked on company with more than 30 mln users and provided patterns, churn prediction and A/B testing. Besides that worked on various ML projects in the areas of NLP, Computer Vision, DSP, Predictive Modeling etc. Also experienced in GPT and Langchain for chatbots with API’s.
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 5 years | English: fluent

For some projects, I built models from scratch, while for others, I  utilized modern algorithms such as Random Forest, LightGBM, XGBoost, UNet, YOLOv8, and Transformers.
I have worked on a variety of projects and tasks related to machine learning and data science. I have used a variety of languages and technologies such as Python, Flask, Google OR-Tools, hyperopt, SQL, Azure Speech Service, AWS Transcribe, Google Speech-to-Text, Anaconda, Azure Data Lake, PySpark, MATLAB, and Azure Databricks. My current role in the team is Senior Machine Learning Engineer/Data Scientist. I am constantly looking for ways to improve my skills and knowledge in the field of machine learning and data science. I am also looking for ways to improve the efficiency and accuracy of the models I develop. I am also interested in exploring new technologies and techniques to improve the performance of the models.
I'm ready to get involved in a project related to implementing the state-of-the-art models in CV, NLP.
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 6 years | English: fluent

Certified AWS SageMaker Machine Learning Specialty (2020)
Holder and co-inventor of patent for an autonomous car action taking system (2020)
Best Kaggle rating top 2000 (2019)
Machine Learning Engineer with 6 years of commercial experience at large consulting and small innovative companies, having broad experience and skills in machine learning, cloud operations and edge AI. 

Generalist, capable of covering end-to-end ML development from data collection to model training, deployment and monitoring in production. Highly specialized in deep learning models for Computer Vision applications, architecting ML solutions in AWS and owning the full MLOps cycle. I also can handle driving data science projects from scratch, collect requirements from users/product managers/C-level stakeholders. 

Core competencies and interests:

1. ML & DL (5 years)
2. AWS (3 years)
3. Edge AI, CV, C++, Nvidia Jetson ( 2 years)
Looking for a part-time consultancy project. Can be a technical leader.
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 6 years | English: fluent


Senior-level specialist with 6 years of commercial experience in Data Science & Analytics. Specializes in Computer Vision (both deep learning and classic). MA in Data Science. 

Tech Stack: 
Python, SQL, PyTorch, TensorFlow, OpenCV, Google Services (AI Platform, Storage, BigQuery, Bigtable), Amazon Services (SageMaker, S3), CNN, git, Docker, DVC

Completed Projects:
- Object Detection
- Semantic Segmentation
- Image Classification 
- Anomaly Detection in Time Series
- Template Detection
- Pose Estimation
- Image Similarity Search
Interested only in: mature projects in production, and product company (outstaff is ok)
Not interested: POC projects, Data Science consulting
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 11 years | English: upper


Senior Machine Learning Engineer with 20+ years of work in the software development industry, the last 5 of them in machine learning. I focus on solving complex problems and developing solutions from scratch to state-of-the-art level. Experienced in all aspects of the machine learning lifecycle, from concept to preparing datasets, training neural networks, and deployment. Also, I successfully managed projects and managed teams.

AREAS OF EXPERTISE

Machine Learning, Neural Networks, Natural Language Processing, Computer Vision, Software Development, Team Management, MLOps, Technical Support

Senior Machine Learning Engineer 
USA
2020–Present
•	Created a separate API on the FastAPI framework through which the central backend server works with AI functions.
•	Created a function based on AI to determine the most suitable time slots for meetings, taking into account the invited users' personal information.
•	Trained NLP neural networks for recognizing moments in sentences, after which an invitation to a meeting can be written by users while text typed online. The necessary dataset was collected, filtered, increased by several augmentation methods, and labeled.
•	Trained computer vision neural networks for extraction of the necessary information from screenshots.
•	Completed MLOps tasks of the deployment: hosted API on Google Cloud Run, hosted neural networks on Google Vertex AI and provided needed support.

Senior Data Scientist 
Lithuania 
2017-2020
•	Provided research on the possibility of using computer vision for utility companies to help save time and money by online reading data old fashion meters via the mobile devices camera.
•	Trained a stack of neural networks for object detection and classification on TensorFlow for over 100 water-meter designs.
•	Trained a lightweight neural network version for mobile devices based on TensorFlow Lite.

Team Lead  / Senior Software Engineer 
Ukraine
2010-2017
•	Managed high-complexity ERP software customization projects resulting in most clients entering into ongoing post-implementation support contracts.
•	Supervised and managed a team of 7 software engineers. Most of them rose professionally from junior level to senior.

CEO / Senior Software Engineer
2002-2009
•	Managed over 200 ERP software development and support projects in various business areas.
•	Increased the number of employees from 3 to 12, which allowed us to support and customize the software for more than 50 business clients at the same time.
I want to focus on research tasks, neural network training, etc. MLOps is of less interest.
Position: Senior Machine Learning Engineer
Category: Data Science
Experience: 6 years | English: upper

Kaggle Competitions Expert.
Open source contributor.
Participated in various Hackathons and took prize-winning places.
Worked 1.5 years as a statistician in clinical trials.
Extensive experience with statistical tests, and A/B testing.

Worked in the machine learning domain for 4.5 years. Among completed tasks:
- Sequence labeling, text classification
- Recommender Systems
- Data processing pipelines (python, PySpark)
- Model Interpretability
- Building models (linear, boosting, etc.) and constructing features for tabular data.
- Creating pipelines for training object detectors (anchor-based and anchor-free)
- Model optimization and export to mobile-friendly formats (ONNX, CoreML, TFLite)
- Semantic search engine development and optimization
- Image classification and semantic segmentation

Kaggle competitions:
- Classification/regression on tabular data
- Multilabel text classification
- Image classification
- Semantic segmentation
- Object detection
- Metric learning
- Sound processing

Contributing to Open Source projects.
Experience in boosting Python code by switching to Cython and C/C++.
Interested in challenging Data Science projects with an opportunity to grow and potentially lead/mentor others.
Product companies or teams with experienced data scientists are preferred.
Position: Senior Machine Learning Engineer at Apple
Category: Data Science
Experience: 9 years | English: fluent

I took part in Hackaton Siemens, and we had a topic for Smart City solution. So my team created a solution which helped one external project to solve problem they struggle for couple months. In the end they offered us to join there team and contribute to there project and use our solution
Thought my career I have grown my expertise in software development in different directions.
Compute Vision, Distributed Systems, Data Science, and Machine Learning. I’ve managed to give a significant contribution to the companies that I’ve worked in before and working now. 

Apple, Spain 10/2022 - Present
Siri Technologies

Ciklum, Spain 04/2021- 10/2022
• Develop recommendation systems for e-commerce platform. Responsible for data collection, model development and deploy to AWS. Tech stack is LightFM, NLP, LightGBM, Python

EPAM Systems 11/2019 - 03/2021
Develop system to make products buy in retail. I took part in the project which goal was to predict how many products customer will buy and what. Kind of analytics. The algorithm worked on statistical modeling and machine learning. Deployed on Azure.

Siemens Lt.d, Beijing China (08/2016 - 10/2019)
Smart City Solutions for car traffic control using cameras and computer vision. Created a model to detect incidents on the roads and violations of rules by driver. Used edge devices like NVIDIA TX2 and Intel Movidius. 


3D reconstruction topic for industry 4.0 to create a 3D models of factories and production lines. Goal is to digitize the working area and control it through VR or AR.


Goyoo Networks, Beijing China  (02/2015 - 07/2016)
NodeJS Software Developer in the area of the Distributed Systems and Big Data. Responsible for the backend implementation and micro- service development.
• Implementation of the monitoring systems of the Wifi devices used for the ads infection.
• Increased the ads performance by 10% and income from customers by 5%


Actissim, Beijing China (11/2013 - 01/2015)
Software Engineer in the start-up company. Developing a control system for the snow machines in ski resort.
• Using java implemented system to control snow machines remotely using API to PLC
• Data storage for the history data using MySQL
• Mechanism to scale system in other ski resorts


Telesense, Kharkiv Ukraine  (10/2011 - 06/2013)
Software Developer in the middle size company. Worked with German customer to deliver a Smart House app to manage consumption of the gas, water and electricity.
• Java backend development of the portal
• Micro services for the data storage using hibernate
• Spring Security in the application integration
I currently interested on part-time side projects or part-time work, remote.
Position: Senior Machine Learning Engineer / Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


Machine Learning Engineer / Data Scientist with a focus on quality and stability of ML based products. Leading and contributing to automation of ML processes, shift to CD4ML approach and incorporation of interpretability.
Major in Math, Statistics and Probability. Earned a Master's degree and worked in Germany.


* Deep Learning with Tensorflow
* Machine Learning with Python
* Certified Spark and Hadoop Developer
* Degree in Mathematics - Statistics and Probability theory
* English - fluent

Programming: Python (Tensorflow, OpenCV, bokeh, matplotlib, numpy, pandas, pytest), Spark (Python and Scala APIs), SQL;

Computer science: OOP, OOAD, SOLID, CD4ML;

Big Data & Cloud Technologies: Spark, Spark Streaming, Spark MLlib, HDFS, Hive, Impala, Sqoop, Atlas, Tableau, GCP, AWS;

Other: Git, Bitbucket, Jira, Trello,  Scrum.
Position: Senior MacOS Developer
Category: iOS
Experience: 6 years | English: intermediate

I know tools like hooper, classdump etc
I have 6 years of experience in software development. Design, build, ship, measure and maintain projects. Develop from scratch to AppStore. Experienced in MacOS utilities development. 

Implement core features for multiple products. Support of existing core frameworks. Code reviews. Can manage dev team or develop by myself. Onboarding new members. Mentoring newcomers.

Solid understanding of Objective-C core concepts, its runtime, application lifecycle. Swift, Xcode. Familiar with satelite tools and languages.

OOP, SOLID, MVC, MVVM, Design Patterns
Cocoa, AppKit, Foundation, CoreAnimation, GCD, Daemons and Login Items, XPC ans XPC Services.  
Git, Jira, Scrum.
Friendly team with interesting projects using the latest technologies.
Opportunity to work remotely.
Project/Contract work.
Position: Senior macOS (Objective-C / C++ / Swift) Developer
Category: iOS
Experience: 5 years | English: upper


• Full cycle product development experience: from specification and architecture to installation and support;
• Creation of clear and obvious module and application architecture (using patterns)
• Software optimization (efficient code + profiling);
• macOS native: Objective-C / Swift applications (Cocoa);
• Cross-platform: C / C++ applications (Qt, STL);
• macOS Kernel: KEXT(driver) development;
• macOS native agent / daemon development;
• Design GUI application interfaces (Xcode Interface Builder, Qt Creator Designer)
• Virtualization software (Remote Desktop);
• Reverse engineering;
• Forensics:
- analysis and decryption of macOS internal encryption;
- iCloud services investigations;
- macOS private applications & frameworks investigations;
- Traffic interception and analysis experience.
I'm interested in developing high- and low-level applications for macOS.
Also looking for developing common C++ parts of cross-platform applications.
Position: Senior Magento 2 Backed Developer
Category: PHP
Experience: 7 years | English: intermediate


5 years experience with Magento 2
A few big projects on M2
Position: Senior Magento 2 Backend Developer
Category: PHP
Experience: 5 years | English: pre

- Completely new multishiping extension with online payments support (payment logic processed completely on backend)
- Magento customer account integration to cross-platform account system
- Various of custom Payment/Shipping/Tax/ERP/ORM integrations 

- Certified M2 Professional Developer (based on 2.3 questions)
- Certified M2 Cloud Developer (based on 2.3 questions)
- Certified M1 Developer Plus
- 5 years expirience with Magento
- 4.5 years expirience with Magento 2 (CE/EE)
- Team Lead Experience
- Project Architect Experience

- Design and build Magento 2 CE/EE projects. 
- Design and build Magento 2 CE/EE headless projects (with VueStorefront). 
- Design and build stand-alone modules. 
- Design and build REST/GraphQl APIs.
- Customizing existing Mangeto workflow (like checkout, payments etc)
- Various of Payment Gateway Integrations
- Various of Shipping Gateway Integrations
- Customizing third party integrations. 
- Support of existings projects. 
- Mentoring. 

Knowledge of: PHP, MySQL, OOP, DDD, SOLID, CQRS, GRASP, DRY, KISS, Design Patterns, RESTful API
Understanding of some Magento specific features: Service Contracts, DI, EAV, Extension Attributes, WebApi workflow,  Plugins, Indexers, Payment Integration Module,  Rendering workflow (blocks, layouts, view models), UI components etc
Projects for world renowned clients
High Load Projects
Position: Senior Magento 2 developer
Category: PHP
Experience: 8 years | English: upper

Experience with Magento 2 is 3,5 years, broad experience of about 7 years as PHP dev. 2 years as an out staff developer, working in a multinational team according to best practices. I also had experience with commerce projects on Symfony, Laravel, and Vue.js. I like to write clean code according to SOLID principles and PSR standards, avoiding antipatterns.
Magento 2 Developer:
- Shipping methods 
- Integration with delivery management system
- Integration with ERP
- Price modifications (price per currency, rounding)
- Feed generation (large product amount, performance optimization)
- Checkout modifications
- Admin UI modifications 
- Custom Catalog rules
- Performance optimizations
- Migration from M1
- Hyvä
- QraphQl
Position: Senior Magento 2 Developer
Category: PHP
Experience: 11 years | English: upper

— Developed large­scale Magento 1.x and 2.x driven web applications using Magento, HTML and JavaScript technologies.
— Developed ERP system and online shop system. Responsible for developing stand­alone web­based Administration tools for team use, using ExtJs, PHP, Mysql, JavaScript, JQuery, JQuery UI.
— Developed social network for travellers. Technologies include Yii framework, MySQL, AJAX, Google API, Factual API and XML.
Languages: PHP (Expert), MySQL, Javascript,
Databases: MySQL, PostgreSQL
CMF and frameworks: Magento 1.x and 2.x, Spryker, Yii, Zend
APIs (Google, Facebook, Twitter, PayPal etc.)
Experienced lead developer who have worked on several complex projects for companies from different countries. I am cooperative and easygoing person, I have a great attention to detail, learn fast and work with passion. The strongest skills are PHP, Magento, JavaScript, code review and deploying software.

Working as a professional software developer since 2008. Worked both at office and remotely, at several companies. Sometimes was the only developer on a project, but often worked in a team. Also, I was act as a team lead on some projects.

Most interested in working on Magento backend, frameworks projects, and native PHP projects.
Position: Senior Magento 2 Developer
Category: PHP
Experience: 8 years | English: upper

- Magento Certified Developer Plus
- Have done refactoring of the old project codebase.
- Set up CI/CD on the project.
Last project technology stack: Magento 2.3, nginx, MySQL, ElasticSearch, Varnish, Redis, RabbitMQ, git

Language: PHP, JS, HTML, CSS
JSF: JQuery, Angular
Technology: Ajax, Comet, WebSocket, Gearman
CMS: Magenta, Symfony
Templates: Smarty, Twig
VCS: SVN, GIT
DBMS: MySql
Web server: Apache, Nginx, nodejs
OS: Window, Unix
Search engine: Solr 
Cache: Redis, memcache
Testing: PhpUnit
CI/CD: TeamCity, Jenkins
Logging: Kibana
- Complex tasks
- Skilled management
- Professional growth