Computer Vision and Machine Learning Engineer

🟠 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 CTO (1 hour)

🟠 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);
-Wellbeing Sessions as One-to-One meetings.

🟠 Our office in Lviv:

– FuturaHUB located in Lviv (Kulparkivska 200a);
– An inspiring, modern workplace with a great atmosphere and development culture;
– “Happy Hours” parties;
– Yoga and sports training in FuturaHUB;
– Chillout area: gaming zone with the PlayStations, table tennis & table soccer;
– 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;