Creative Tech | Edge AI Engineer

Role Overview

This role focuses on optimizing and deploying AI models for resource-constrained edge devices. You will work on model compression techniques and low-level programming to ensure high performance and low power consumption.

Key Responsibilities

• Compress AI models using quantization and pruning techniques
• Refine model architectures for resource-constrained devices
• Deploy models onto edge hardware like NVIDIA Jetson and Raspberry Pi
• Develop efficient algorithms for real-time on-device analytics
• Program in low-level languages to optimize performance
• Ensure low power consumption across edge deployments

Requirements Snapshot

• Bachelors degree in Computer Science or Engineering
• Proficiency in Python and C or C++
• Familiarity with TensorFlow Lite, PyTorch, or ONNX
• Experience with microcontrollers, DSPs, and AI accelerators
• Knowledge of model quantization and distillation techniques

Expected Impact

The successful candidate will enable advanced AI capabilities on edge devices, significantly improving the efficiency and speed of on-device analytics. By optimizing models for low power and high performance, they will contribute to the development of scalable and sustainable AI solutions.