Edge AI ML Engineer – Quantization & Deployment (France)

Skyld AI; Rennes; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Transport compensation (50%)

Mutuelle (80% company paid)

Job summary

Skyld AI is seeking a machine learning engineer to deliver new features for our cybersecurity-focused AI product, with a focus on adapting it to various quantization deployments. The role requires close collaboration with clients and internal teams to tailor solutions and ensure robust performance on edge devices.

The position is based in Rennes, France, and requires fluency in French and English, with experience in Python and C/C++.

Qualifications

• Proficient in Python and C/C++.
• Experience with neural networks and quantization techniques.
• Experience deploying AI models on edge hardware and NPUs/GPUs/TPUs.

Responsibilities

• Design and develop new features for the protection product with quantized AI models across formats/runtimes.
• Integrate and validate features within the product to ensure performance and reliability.
• Collaborate with clients and internal technical teams to gather requirements and deliver tailored solutions.

Skills

Python

C/C++

Quantization

Edge deployment

Neural networks

Problem-solving

Tools

TensorRT

TFLite Micro

Axelera

Job description

Skyld AI is seeking a machine learning engineer to deliver new features for our cybersecurity-focused AI product, with a focus on adapting it to various quantization deployments. The role requires close collaboration with clients and internal teams to tailor solutions and ensure robust performance on edge devices.

The position is based in Rennes, France, and requires fluency in French and English, with experience in Python and C/C++.