Computer Vision Engineer (ID 66670)

Published on Aug 17, 2021

An Outsource company with offices in Lviv, Ukraine; Kharkiv, Ukraine; Odessa, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

Research, design and implement machine learning algorithms for different industries
Automation manual processes and optimization data pipelines, interpreting it in an interactive way
Technology and scientific consulting performance
Business and technical stakeholders to identify solution requirements, business goals, and the expected outcome
R&D and feasibility studies, communicating results, and methodologies
Delivery of rapid prototypes and proof of concepts that demonstrate real value
Communicating results, technical constraints, and decisions to the business and non-specialists
Creation and delivery of progress reports, slide decks, proposals, and documentation

What You Should Bring

At least 3 years working with data science and machine learning
Extensive knowledge and practice in Machine Learning and Computer Vision using deep learning and classical CV algorithms
Understanding of benchmarking datasets in Computer Vision
Shipping full-cycle machine learning products, starting from data collection and annotation to model deployment and monitoring
Proficiency in using computer vision and deep learning tools: PyTorch/Tensorflow, OpenCV, etc.
Cloud computing services (GCP, AWS, Microsoft Azure, IBM Cloud)
Upper-Intermediate English level or higher


Pre-sales and discovery activities
Relevant domain expertise in manufacturing, energy, or other industries

What You Will Get Benefits

Work with Top Data Scientists in the company
Participate in international events
Get certifications in cutting-edge technologies
Have the ability to work with the latest modern tools and technologies on different projects
Get access to strong educational and mentorship programs
Communicate with the world-leading companies from our logos portfolio
Work as a consultant on different projects with a flexible schedule

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