Senior Computer Vision & AI Engineer

About the Role

We are looking for a Senior Computer Vision & AI Engineer to develop, optimize, and deploy computer vision and deep learning models on edge systems — from object detection and tracking to recognition and scene understanding across multi-channel camera arrays.

Key Responsibilities

• Develop and train robust machine learning and computer vision models for spatial object detection, structural tracking, and pattern/facial recognition.
• Design optimized neural networks specifically tailored for complex camera recognition, scene segmentation, and environmental mapping.
• Architect vision pipelines designed to process and synchronize inputs from multi-channel camera arrays.

What We're Looking For

• 5+ years of professional experience developing and deploying computer vision and deep learning models in production environments.
• 2+ years of hands-on experience optimizing models specifically for edge deployment.
• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related quantitative technical discipline.
• Professional proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
• Proven track record of compiling and accelerating models using TensorRT, ONNX, or platform-specific SDKs (NVIDIA, Qualcomm, etc.).