Sr. Computer Vision Developer – Object Detection (YOLO)

 3+ years of hands-on experience in computer vision, object
detection, and deep learning frameworks.

Responsibilities

 Design, develop, and implement object detection pipelines using
YOLO (v5, v7, v8 or custom implementations).
 Collect, annotate, and preprocess large datasets for training and
evaluation.
 Fine-tune and optimize models for accuracy, speed, and edge
deployment.
 Integrate object detection systems into production-ready
software or embedded devices.
 Collaborate with cross-functional teams (hardware, software, and
product) to deliver high-performance solutions.
 Maintain documentation of processes, models, and results.
 Research and implement new techniques in computer vision and
deep learning to enhance product capabilities.

Skills

 Proficiency in Python and libraries such as PyTorch,
TensorFlow, OpenCV, and NumPy.