AI Edge Computing Specialist
SKILLS
FULL DESCRIPTION
Summary
This role focuses on developing and implementing AI models optimized for edge devices, in collaboration with hardware engineers. The specialist will monitor and improve edge AI system performance while exploring innovative AI applications in IoT and edge computing.
Key Responsibilities:
- Develop AI models optimized for edge devices.
- Collaborate with hardware engineers to integrate AI functionalities.
- Monitor and improve edge AI system performance.
- Explore innovative uses of AI in IoT and edge computing.
- Communicate solutions and findings to the team.
Core Requirements:
- Experience in Python, TensorFlow Lite, or Edge AI tools.
- Knowledge of edge devices and low-latency AI deployment.
- Strong understanding of IoT systems and embedded AI.
- Excellent analytical and technical skills.
- Bachelor’s or Master’s in Computer Science, AI, or related field.
Responsibilities:
Develop AI models optimized for edge devices. Collaborate with hardware engineers to integrate AI functionalities. Monitor and improve edge AI system performance. Explore innovative uses of AI in IoT and edge computing. Communicate solutions and findings to the team.
Requirements:
Experience in Python, TensorFlow Lite, or Edge AI tools. Knowledge of edge devices and low-latency AI deployment. Strong understanding of IoT systems and embedded AI. Excellent analytical and technical skills. Bachelor’s or Master’s in Computer Science, AI, or related field.