Key Responsibilities:
- 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 in deploying AI models on NVIDIA Jetson platforms.
- Proficiency in TensorRT, TensorFlow, and PyTorch.
- Strong understanding of YOLO for object detection.
- Good to have experience with DeepStream SDK.
- Familiarity with embedded AI development and optimization techniques.
- Proficiency in Python and C++ (preferred).
- Strong problem-solving skills and ability to work in a team.
Preferred Qualifications:
- Previous experience with AI/ML projects related to computer vision.
- Knowledge of OpenCV, CUDA, and edge AI deployments.
- Understanding of real-time AI inference optimization.
What You Will Gain:
- Hands-on experience with NVIDIA Jetson and AI model optimization.
- Exposure to real-world AI deployment challenges in embedded systems.
- Mentorship from experienced AI and embedded systems professionals.
How to Apply:
Join us and be a part of cutting-edge AI Innovation