Description

You will design and develop computer vision algorithms for the Robocam V1.0 system, focusing on edge-based object detection and low-power embedded deployment.

This role is on-site.

Responsibilities

• Design and develop advanced computer vision algorithms for the Robocam V1.0 system.
• Implement edge-based object and person detection solutions using onboard processing.
• Integrate AI/ML models into embedded camera firmware to ensure efficient, low-power operation.
• Test, debug, and optimize algorithms for real-world deployment conditions.

Required Skills

• 5-7 years of hands-on experience in computer vision and machine learning.
• Proficiency in C++ and Python for ML model development and deployment.
• Strong knowledge of embedded AI frameworks like TensorFlow Lite or PyTorch Mobile.
• Experience in object detection, person recognition, and real-time image analysis.
• Proficiency in image processing, feature extraction, and edge-based deployment techniques.
• Ability to work with embedded camera systems and optimize for low-power environments.
• Strong problem-solving and debugging skills.

Key Skills

Education

Any Graduate