🟠 Details:
Our client is the largest manufacturer of commercial casework and architectural millwork in the United States. In 2015 the company was recognized as one of the fastest-growing wood manufacturers in the United States. This project aims to minimize the time needed to detect and emphasize certain categories of objects and text in architectural drawings.
🟠 Qualifications:
— At least 5 years of experience in Computer Vision and Deep Learning for object detection and tracking along with semantic or instance segmentation either in an academic or industrial domain.
— Experience with classical Computer Vision.
— Experience in different model optimization techniques for deploying on low-end edge devices.
— Bachelor’s degree in computer science, engineering, or a related field
— 5+ years of industry experience using the OpenCV library and related tools.
— Deep knowledge of image processing and computer vision.
— Great programming skills in Python and similar languages, with a deep understanding of data structures and algorithms.
— Experience with popular machine learning and deep learning frameworks such as TensorFlow, Keras, and Scikit.
🟠 Responsibilities:
— Develop computer vision and machine learning applications for data analysis, modeling, and prediction.
— Develop and implement algorithms for object detection, and pattern recognition.
— Design and implement computer vision and machine learning projects
— Develop and test machine learning models to identify patterns and trends in data.
— Create and maintain documentation for software and systems.
— Develop and deploy computer vision algorithms for object detection and tracking, semantic or instance segmentation.
— Optimize models for deployment on low-end edge devices.
— Design and implement computer vision systems and algorithms using the OpenCV library and related tools.
— Develop deep learning models to analyze images.
— Develop algorithms to support various computer vision tasks such as object recognition, face recognition, and object tracking.
— Develop and maintain computer vision software, including debugging, testing, and integration.
— Collaborate with other engineers to ensure the successful deployment of computer vision applications.
🟠 Interview steps:
-Screening with a recruiter (about 30 minutes)
-Interview with CEO (1 hour)
-Paid test task (about
🟠 By joining us, you will get: (May add something special for position)
-Accounting coverage;
-Paid Vacations;
-Flexible working hours and the possibility to work remotely;
-Best class working equipment (laptop and accessories);
-Good conditions for skills development:
-Possibility to upgrade your English for business needs due to working time and coverage of 50% for studying English
-Offer of Internal WorkShops
-Wellbeing Sessions as One-to-One meetings and coverage of 50% of costs for a psychologist.
🟠 Our office in Lviv:
-FuturaHUB located in Lviv (Kulparkivska 200a);
-An inspiring, modern workplace with a great atmosphere and development culture;
-Free “Happy Hours” parties;
-Free yoga and sports training in FuturaHUB;
-Chillout area: gaming zone with the PlayStations, table tennis & table soccer;
-Free beer, coffee, tea, cookies, etc;
-Conference rooms.
🟠 Some of our Values:
-No overtime and pressure;
-Regular rest, burnouts control;
-Clean relationships within the company and with the client;
-Responsibility for the own development, ideas, and interests communication, as well for the problems that stand in the way of this development;
-Openness to the new, readiness for changes;