Computer Vision Engineer (PyTorch/TensorRT) (India)

We are seeking a Computer Vision Engineer with solid software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipelinefrom 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 principles (Git, testing, CI/CD). - Can work on other non-vision AI implementations We are seeking a Computer Vision Engineer with solid software and AI fundamentals to build and deploy high-performance AI models. You will handle the full pipelinefrom 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 principles (Git, testing, CI/CD). - Can work on other non-vision AI implementations