Computer Vision Engineer
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Key skills for this role
About the Role
Kanz is seeking a Computer Vision Engineer to design, develop, and deploy computer vision algorithms and deep learning models for real-world applications. The role involves object detection, image segmentation, and video analysis, with responsibilities spanning from prototyping to deployment on edge or cloud platforms.
Key Skills for This Role
Responsibilities
- 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 TensorFlow
- 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
Requirements
- Computer Vision expertise
- Proficiency in Python
- Experience with PyTorch or TensorFlow
- Experience with OpenCV
- Model optimization for edge or cloud deployment
- Data pipeline management and model evaluation
Full Job Posting
Job Purpose
- 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 dev
Job Duties And Responsibilities
- 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 TensorFlow.
- 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.
Required Qualifications
- Computer Vision
- Python
- PyTorch
- TensorFlow
- OpenCV
- Model Optimization
- Edge Deployment
- Cloud Deployment
- Data Pipeline Management
- Model Evaluation
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