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 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

📌 Computer Vision Engineer (PyTorch/TensorRT) (India)
🏢 Recognized
📍 India