Computer Vision Engineer

Jobs for Humanity is partnering with kanz to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

kanz

The primary purpose of this role is to design, develop, and deploy robust computer vision algorithms and deep learning models that solve real-world problems. You will be responsible for the entire lifecycle of model development—from prototyping and training to optimization and deployment on edge devices or cloud platforms—ensuring high performance, accuracy, and reliability in production environments.

• Design, develop, and deploy computer vision algorithms and models for real-world applications such as object detection, image segmentation, or video analysis.
• Demonstrate proficiency in Python and deep learning frameworks including PyTorch or Tensor Flow.
• Apply experience with image processing libraries such as OpenCV for visual data manipulation.
• Optimize computer vision models for deployment on edge devices or cloud platforms.
• Manage data pipelines and conduct model evaluation to ensure robust performance in production environments.

• Computer Vision
• Python
• Py Torch
• Tensor Flow
• OpenCV
• Model Optimization
• Edge Deployment
• Cloud Deployment
• Data Pipeline Management
• Model Evaluation