Computer Vision Lead

Roles and Responsibilities

• Develop and implement computer vision algorithms using deep learning techniques such as convolutional neural networks (CNNs) and generative adversarial networks (GANs).
  
• Design, train, and deploy image processing models for various applications including object detection, classification, segmentation, tracking, recognition, facial expression analysis etc.
  
• Collaborate with cross-functional teams to integrate computer vision solutions into larger projects.
  
• Conduct research on new advancements in computer vision and machine learning to stay up-to-date with industry trends.
  
• Troubleshoot issues related to model performance and optimize system resources for improved efficiency.

What We're Looking For:

Strong expertise in computer vision algorithms and applications
Proven track record of delivering ML/CV products
Leadership experience in data science/ML teams
Passion for innovation and product development