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 (positive 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 Job Types: Full-time, Internship Contract length: 6 months Compensation: 5,000.00 - 10,000.00 per month Advantages:

- Flexible schedule Application Question(s):
- Do you have knowledge of NVIDIA Jetson - Do you have knowledge of YOLO - Do you have experience in AI/ML projects Work Location: In person .

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