Edge AI Engineer - Embedded ML on Edge Devices

jabil

George Town

Vor Ort

MYR 120.000 - 240.000

Vollzeit

Vor 11 Tagen
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Zusammenfassung

Jabil is a global company seeking an experienced Edge AI Engineer to design and deploy AI/ML models for resource-constrained devices, collaborating with hardware teams to optimize performance, power, and memory on platforms like Raspberry Pi and Jetson.

You will implement efficient inference engines, develop MLOps for CI/CD of edge models, stay abreast of AI hardware advances, and mentor cross-functional teams through design documentation and testing.

Qualifikationen

  • Experience designing and deploying AI/ML models on edge devices.
  • Knowledge of quantization, pruning, or distillation for edge deployment.
  • Experience with embedded systems and RTOS is a plus.

Aufgaben

  • Design, develop, and optimize AI/ML models for edge devices.
  • Implement efficient inference engines for real-time data processing.
  • Work with sensor data to build robust AI applications.
  • Collaborate with hardware engineers to select edge platforms.
  • Optimize models for power, latency, and memory on target hardware.
  • Develop MLOps strategies for CI/CD and monitoring.
  • Conduct performance benchmarking and validation.
  • Stay updated on edge AI hardware and ML advances.
  • Provide technical guidance to cross-functional teams.
  • Document designs and implementation details clearly.

Kenntnisse

Python
C++
Embedded systems
Edge computing

Ausbildung

Bachelor's or Master's degree in Computer Science / Electrical Engineering / Robotics

Tools

TensorFlow Lite
PyTorch Mobile
HailoRT
RTOS

Jobbeschreibung

Jabil is a global company seeking an experienced Edge AI Engineer to design and deploy AI/ML models for resource-constrained devices, collaborating with hardware teams to optimize performance, power, and memory on platforms like Raspberry Pi and Jetson.

You will implement efficient inference engines, develop MLOps for CI/CD of edge models, stay abreast of AI hardware advances, and mentor cross-functional teams through design documentation and testing.

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