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2 Tao Toolkit Jobs

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0.0 years

5 Lacs

Bengaluru, Karnataka, India

On-site

Job Description: Computer Vision modeler who will develop real time computer vision models like Python Pytorch tensorflow CV ML model development Object recognition Detection NVIDIA technologies MLOps Key Responsibilities: Should have the hands on experience to train computer vision and deep learning models to solve computer vision use cases Should be able to create and optimize algorithms for image and video analysis for tasks such as object detection image recognition segmentation and video analytics Should have expertise on different object tracking algorithms and track multi objects in multi cameras Should be able to articulate camera calibration and region of interest extraction Should have experience working on a large scale implementation with 100 stream in real time Fine tune deep learning models like CNNs vision transformers using frameworks such as Tensorflow PyTorch onnx etc Should have used NVIDIA frameworks preferably like NGC models TAO toolkit metropolis Deep stream triton server and triton server to create inferencing pipeline and its deployment Should have knowledge of optimizing inferencing pipelines to work on edge Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it Should have experience working on action recognition with temporal analysis Should have knowledge on pruning the model for deploying on edge ARM devices Collaborate with Business and IT teams Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Machine Learning->Python

Posted 3 weeks ago

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5.0 - 7.0 years

45 - 50 Lacs

Mumbai, New Delhi, Bengaluru

Work from Office

Job Overview We are looking for a Senior Computer Vision Machine Learning Engineer to lead the development of real-time CV/ML systems, with an emphasis on deploying models on edge platforms like the NVIDIA IGX Orin. The ideal candidate will have experience in designing robust vision pipelines, training and optimizing deep learning models, and working closely with hardware platforms for deployment. Responsibilities Lead the design, development, and deployment of end-to-end computer vision and deep learning models Optimize and deploy CV/ML pipelines on edge platforms, particularly NVIDIA IGX (Orin preferred) Work with cross-functional teams to integrate models into real-time applications (e.g., robotics, safety systems, industrial inspection) Develop and maintain datasets, perform data augmentation, and ensure quality training inputs Leverage NVIDIA SDKs (e.g., DeepStream, TensorRT, TAO Toolkit, CUDA) for performance and acceleration Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints Stay up to date with the latest research and techniques in computer vision, edge AI, and embedded ML Requirements Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field 5+ years of experience in Computer Vision and Machine Learning (deep learning emphasis) Proficiency in Python, C++, TensorFlow, PyTorch Strong understanding of model optimization techniques for edge deployment Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier (IGX Orin highly preferred) Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit) Solid knowledge of vision tasks: object detection, tracking, classification, segmentation Familiarity with containerization (Docker), CI/CD pipelines, and version control (Git) Preferred Qualifications Experience in industrial AI, medical imaging, or robotics Exposure to RTOS, safety-critical systems, or IEC 61508/ISO 26262 environments Familiarity with ONNX, OpenCV, ROS, or GStreamer What We Offer Opportunity to work on cutting-edge AI/edge technology with real-world impact Collaborative and fast-paced engineering culture Flexible working hours and remote work options Competitive salary and benefits package Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Posted 2 months ago

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