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