Key Responsibilities: n- Optimize and deploy deep learning models using TensorRT. n- Develop and fine-tune AI models using TensorFlow and PyTorch. n- Implement object detection and recognition using YOLO. n- Work on DeepStream SDK (good to have) for real-time video analytics. n- Optimize AI models for edge computing and embedded environments. n- Collaborate with the team to integrate AI models with embedded hardware. nnRequired Skills u0026 Qualifications: n- Experience in deploying AI models on NVIDIA Jetson platforms. n- Proficiency in TensorRT, TensorFlow, and PyTorch. n- Strong understanding of YOLO for object detection. n- Good to have experience with DeepStream SDK. n- Familiarity with embedded AI development and optimization techniques. n- Proficiency in Python and C++ (preferred). n- Strong problem-solving skills and ability to work in a team. nnPreferred Qualifications: n- Previous experience with AI/ML projects related to computer vision.



n- Knowledge of OpenCV, CUDA, and edge AI deployments. n- Understanding of real-time AI inference optimization. nnWhat You Will Gain: n- Hands-on experience with NVIDIA Jetson and AI model optimization. n- Exposure to real-world AI deployment challenges in embedded systems. n- Mentorship from experienced AI and embedded systems professionals. nnHow to Apply: nJoin us and be a part of cutting-edge AI Innovation nnJob Types: Full-time, Internship nContract length: 6 months nnCompensation: 5,000.00 - 10,000.00 per month nnAdvantages: n- Versatile schedule nnApplication Question(s): n- Do you have knowledge of NVIDIA Jetson n- Do you have knowledge of YOLO n- Do you have experience in AI/ML projects nnWork Location: In person .

📌 Ai Embedded Intern (Pune)
🏢 Ai India Innovations
📍 Pune