Sr. Computer Vision & Edge AI Engineer

Tasks Apply model pruning Apply model quantization Benchmark model performance Build multi object tracking systems Convert and optimize models with NVIDIA TAO Toolkit Convert and optimize models with OpenVINO Convert and optimize models with TensorRT Deploy models on edge hardware Design computer vision models for image and instance segmentation Design computer vision models for object detection Evaluate and debug deployed systems Implement human pose estimation systems Improve deployed system performance Optimize inference latency Optimize models for edge deployment Train deep learning models Write production-ready Python code Perks/Benefits N/A Skills/Tech-stack Computer Vision | Deep learning | FP16 | GPU Acceleration | Human pose estimation | Image Segmentation | Instance Segmentation | Int8 Quantization | Model Pruning | Model Quantization | Multi-object Tracking | NVIDIA TAO | NVIDIA TAO Toolkit | ONNX | Object Detection | Object Tracking | OpenVINO | Pose Estimation | PyTorch | Python | TAO Toolkit | TensorFlow | TensorRT Education N/A Roles AI Engineer | Computer Vision Engineer | Edge AI Engineer | Engineer | Senior Computer Vision Engineer | Senior Edge AI Engineer | Vision Engineer Regions Asia/Pacific Countries India States Maharashtra, IN Cities Pune, Maharashtra, IN