to join our team. The ideal candidate should have hands-on experience in AI model deployment on embedded systems, specifically
NVIDIA Jetson
platforms. This internship offers a unique opportunity to work on cutting-edge AI solutions, optimizing deep learning models, and deploying them on edge devices.
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 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.
Opportunity to work on innovative AI applications.
How to Apply:
Interested candidates can send their resumes to teams.aiindia@gmail.com with the subject
"AI Embedded Intern Application - [Your Name]"
.
Join us and be a part of cutting-edge AI Innovation!