AI Embedded Intern

About this role

Batch: 2025/2026/2027. Key Responsibilities: - Work with NVIDIA Jetson platforms for AI-based applications - Optimize and deploy deep learning models using TensorRT - Develop and fine-tune AI models using TensorFlow and PyTorch - Implement object detection and recognition using YOLO - Work on DeepStream SDK (good to have) for real-time video analytics - Optimize AI models for edge computing and embedded environments - Collaborate with the team to integrate AI models with embedded hardware Required Skills & Qualifications: - Experience deploying AI models on NVIDIA Jetson platforms - Proficiency in TensorRT, DeepStream, OpenVINO, TensorFlow, and PyTorch - Strong understanding of YOLO for object detection (DeepStream SDK is a plus) - Embedded AI development and optimization techniques; proficiency in Python and C++ (preferred) - Preferred: OpenCV, CUDA, edge AI deployments, and real-time inference optimization