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.

Core Responsibilities

• Model Training: Train and fine-tune models for Detection, Classification, and Segmentation (e.g., YOLO, ResNet, U‑Net)
• Tracking: Implement Multi‑Object Tracking (MOT) algorithms for complex video streams
• Engineering: Write production‑grade Python code with a focus on modularity and scalability
• Deployment: Containerize applications using Docker for consistent deployment

Requirements

• 3+ years in CV/Deep Learning
• Python, PyTorch, OpenCV
• Strong preference for experience with NVIDIA TensorRT and model optimization (quantization/pruning)
• Solid grasp of software engineering p...