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Computer Vision Engineer (PyTorch/TensorRT) at Flatgigs. 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.. 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. Company Location: India.