Edge AI Specialist - Computer Vision

Job Description :

An Edge AI Specialist is responsible for designing, developing, and optimizing AI models and systems to operate efficiently on edge devices. This role combines expertise in artificial intelligence, machine learning, and edge computing to deploy intelligent solutions in low-latency, resource-constrained environments

Key Responsibilities :

- Optimize AI algorithms for low power consumption and minimal memory usage without compromising performance

- Deploy and test AI models on edge devices

- Deploy and monitor AI applications in real-world edge environments, ensuring reliability and robustness.

- Troubleshoot and resolve issues related to latency, security, and resource utilization.

- Ensure compliance with industry standards and best practices for AI and edge computing.

Required Skills and Qualifications :

Coding : Python, C/C++

Technology : Deep learning (Advanced- CNN/LSTM/Transformer- Capable to develop , retrain), GenAI, Computer Vision , Edge AI stack ( QNN , SNPE , Onnx ) , Edge AI deployement , Model conversion and optimization suitable for edge

Hardware platforms : ARM based SOC like Qualcomm SA8295 , GPU/ NPU/AI accelerators

Deep learning Framework : Tensorflow, Pytorch,

- Excellent problem-solving skills and attention to detail.

- Strong communication and teamwork abilities.

Preferred Skills :

- Linux/QNX/Android work experience

- Databricks , MLOps

- Expereince in automative domain

- Audio /video frameworks on Linux/QNX/Android