Computer Vision Engineer (Edge AI)

Position : Computer Vision Engineer (Edge AI) Location : Mumbai Key Responsibilities: Train, fine-tune, and evaluate state-of-the-art computer vision models (Object Detection, Instance Segmentation, Image Classification) using architectures like YOLOv8/v10. Optimize and quantize heavy deep learning models to run at high FPS on resource-constrained Edge devices using NVIDIA TensorRT, DeepStream, or OpenVINO. Deploy, test, and maintain models on edge hardware, primarily the NVIDIA Jetson family (Orin Nano/Xavier). Build highly eJicient video ingestion and processing pipelines using OpenCV and GStreamer. Leverage AI coding assistants (Copilot, Claude, Gemini) to write boilerplate code, debug rapidly, and accelerate deployment timelines. Compensation: 300,000.00 - 900,000.00 per year Benefits: Cell phone reimbursement Flexible schedule Work Location: In person Position : Computer Vision Engineer (Edge AI) Location : Mumbai Key Responsibilities: Train, fine-tune, and evaluate state-of-the-art computer vision models (Object Detection, Instance Segmentation, Image Classification) using architectures like YOLOv8/v10. Optimize and quantize heavy deep learning models to run at high FPS on resource-constrained Edge devices using NVIDIA TensorRT, DeepStream, or OpenVINO. Deploy, test, and maintain models on edge hardware, primarily the NVIDIA Jetson family (Orin Nano/Xavier). Build highly eJicient video ingestion and processing pipelines using OpenCV and GStreamer. Leverage AI coding assistants (Copilot, Claude, Gemini) to write boilerplate code, debug rapidly, and accelerate deployment timelines. Compensation: 300,000.00 - 900,000.00 per year Benefits: Cell phone reimbursement Flexible schedule Work Location: In person