Computer Vision Engineer (PyTorch/TensorRT)

About the Role: We are seeking a Computer Vision Engineer with strong software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipeline—from training detection and segmentation models to optimizing them for production using NVIDIA TensorRT and Docker.

What You'll Do

• Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U-Net).
• Implement Multi-Object Tracking (MOT) algorithms for complex video streams.
• Write production-grade Python code with a focus on modularity and scalability.
• Containerize applications using Docker for consistent deployment.
• Work on other non-vision AI implementations as needed.

What You Bring

• 3+ years of experience in Computer Vision and Deep Learning.
• Strong proficiency in Python, PyTorch, and OpenCV.
• Solid experience with NVIDIA TensorRT and model optimization (quantization/pruning).
• Strong grasp of software engineering principles, including Git, testing, and CI/CD.

Benefits

• Opportunity to build and deploy cutting-edge, high-performance AI models.
• Fully remote work flexibility across Egypt, Jordan, India, and Pakistan.