Sr. Computer Vision Developer – Object Detection (YOLO)

 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.
 Strong experience with YOLO (v3/v4/v5/v7/v8) and model deployment.
 Understanding of image augmentation, model compression, and
performance tuning.
 Familiarity with MLOps tools (Docker, Git, CI/CD) and
cloud platforms (AWS/GCP/Azure).
 Solid knowledge of data structures, algorithms, and software
engineering principles.