Data Scientist (with focus on Computer Vision)

Sigli
Основная информация о компании

Полное наименование компании
Sigli
Организационно-правовая форма
Общество с ограниченной ответственностью (ООО)
Контактное лицо
Nina Pivavarchyk
Номер контактного лица
+370 605 22384
Электронная почта контактного лица
cv@sigli.com
Вебсайт компании
https://www.sigli.com/
Комментарии

We are Sigli, a dynamic software development company from Lithuania, specializing in Digital Product Development and Digital Transformation. We are now hiring globally, including Uzbekistan, to expand our team of passionate experts who thrive on delivering innovative, high-quality solutions.

At Sigli, we excel at turning ideas into reality by providing end-to-end development services, covering the entire lifecycle—from concept to deployment. Our focus is on creating scalable and future-proof digital products that help businesses modernize operations, enhance customer experiences, and stay competitive in the rapidly evolving digital landscape.

We are proud to be ISO/IEC 27001 certified, ensuring the highest standards of information security management. This certification reflects our commitment to safeguarding client data and maintaining trust in all our partnerships.

Joining Sigli means being part of a forward-thinking team that values cutting-edge technology, transparency, and collaboration. We offer opportunities to work on impactful projects that drive digital transformation for businesses worldwide. If you’re ready to shape the future of digital innovation with us, we’d love to hear from you!

Data Scientist (with focus on Computer Vision)
Обновлено: 10.04.2025

Тип работы
Зарплата
Опыт работы
Вид занятости
Удаленная работа
до 3300 EUR
От 1 до 3 лет
Полная занятость
Разработка приложений
Описание

We invite you to be part of our welcoming and innovative team as a Data Scientist. In this role, you will have the opportunity to work on impactful project, optimizing algorithms for detection and tracking, developing new solutions to enhance system accuracy, training machine learning models on large datasets. If you are proficient in Python and have a strong foundation in deep learning, we’d love to hear from you.

What about project:
Our client specializes in the automated analysis of football games, using cutting-edge AI technology to enhance the way coaches and players leverage match data. Their mission is to democratize access to this valuable information, bridging the gap between professional and amateur levels in the sports industry.

The team: 2 DS’s (PhD), few python devs

Основные задачи

What you will do:
Optimize and improve existing algorithms related to detection and tracking.
Develop new algorithms to enhance the accuracy and efficiency of systems.
Train and evaluate machine learning models on large datasets, ensuring high performance and reliability.
Conduct time series analysis to uncover trends and patterns in data.
Troubleshoot and debug model performance issues, implementing necessary improvements.
Document processes, methodologies, and results effectively to communicate findings to stakeholders.

График работы

What's in it for you:
Ownership – we trust that you will do the right things to deliver maximum impact.
Transparency – we say what we think and every voice is heard and respected, even when our opinions differ.
Service – whether it’s for our customers or teammates, we always support each other.
No bureaucracy, no micromanagement.
Flexible working schedule – you plan your working day based on your tasks and meetings.
Corporate events and various team buildings.
Sigli Academy: Initial Training Programs, How it Works & more.

Дополнительные требования

What you need:
2+ years of proven experience as a Data Scientist or similar role.
Proficiency in Python and familiarity with libraries.
Hands-on experience with computer vision frameworks, particularly OpenCV, and a solid understanding of image processing techniques.
Solid understanding of deep learning concepts and frameworks, with experience in building and deploying neural networks.
Experience in analyzing and preprocessing large datasets for model training and validation.
Upper-intermediate English level.