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 ResponsibilitiesModel 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 streamsEngineering: Write production-grade Python code with a focus on modularity and scalabilityDeployment: Containerize applications using Docker for consistent deploymentRequirements3+ years in CV/Deep LearningPython, PyTorch, OpenCVStrong preference for experience with NVIDIA TensorRT and model optimization (quantization/pruning)Solid grasp of software engineering principles (Git, testing, CI/CD)Can work on other non-vision AI implementations