Remote Edge AI Engineer — On‑Device ML Production

Bright Vision Technologies; Canton Charter Township (MI); On-site; USD 70,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking an Edge AI Engineer to design, optimize, and deploy ML models that run efficiently on resource-constrained edge devices, including mobile platforms and embedded systems. The role emphasizes model compression, quantization, and hardware-aware optimization, plus strong systems engineering to ship AI capabilities outside the data center.

8+ years of ML/edge AI experience is expected, with Python and C++ proficiency.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Six or more years of experience in ML engineering, with significant work on edge or mobile AI.
• Strong proficiency in Python and C++.
• Hands-on experience with model compression, quantization, and pruning techniques.
• Experience with at least one major edge inference framework.
• Solid understanding of mobile and embedded hardware architectures.
• Experience deploying ML models to production on mobile or embedded platforms.
• Strong performance engineering and profiling skills.
• Familiarity with on-device privacy and security considerations.
• Strong communication and cross-functional collaboration skills.

Skills

Python

C++

Model compression

Quantization

Pruning

Edge inference framework

Mobile/embedded hardware

Production deployment

Performance profiling

On-device privacy

Cross-functional collaboration

Education

Bachelor's or Master's degree in CS/CE or related field

Tools

Edge inference framework

Job description

Bright Vision Technologies is seeking an Edge AI Engineer to design, optimize, and deploy ML models that run efficiently on resource-constrained edge devices, including mobile platforms and embedded systems. The role emphasizes model compression, quantization, and hardware-aware optimization, plus strong systems engineering to ship AI capabilities outside the data center.

8+ years of ML/edge AI experience is expected, with Python and C++ proficiency.