Develop and implement image and video analysis solutions for real-world projects (e.g., automation, object recognition, real-time systems);
Develop and improve computer vision algorithms (object detection, tracking, segmentation);
Train and optimize deep learning models (CNN, YOLO, etc.);
Develop pipelines for processing images and videos;
Integrate models into production environments (API, edge devices);
Work with large datasets (dataset preparation, labeling, augmentation);
Collaborate with backend, data, and product teams;
Experiment with new methods and technologies.

Requirements

More than 3 years of hands-on professional experience in the field of computer vision;
Proficiency in Python and PyTorch is essential, with a strong understanding of their core libraries and functions;
Hands-on experience with deep learning models (e.g., YOLO, CNN);
Strong mathematical foundation, with a thorough understanding of key concepts in linear algebra and statistics;
Practical experience in real-world projects.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

image analysisvideo analysiscomputer vision algorithmsobject detectiontrackingsegmentationdeep learning modelsdataset preparationlabelingaugmentation

Soft Skills

collaborationproblem-solvingcommunication