Description

You will develop and deploy computer vision and deep learning models for real-world video and image processing tasks.

This role is on-site.

Responsibilities

• Build and fine-tune deep learning models to recognize patterns, detect anomalies, and extract insights from video data.
• Develop computer vision models using Python frameworks to process live-stream video feeds and YouTube streams.
• Implement real-time object detection and tracking for camera-based surveillance systems.
• Conduct research and patent landscape reviews to contribute to novel solution development.
• Travel to client locations for solution deployment, testing, and support.

Required Skills

• 5+ years of experience in deep learning and computer vision applications.
• Proficiency with Python frameworks including TensorFlow, PyTorch, or OpenCV.
• Hands-on experience with deep learning algorithms.
• Experience working with real-time video processing and live-stream feeds.
• Background in camera-based surveillance systems.
• Demonstrable coding experience in Python.
• Degree in any field (Mathematics, Computer Science, or related preferred).

Preferred Skills

• Experience or interest in patent research.

Key Skills

Education

Any Graduate