[Machine Learning Engineer] Edge AI / Model Optimization (Kyoto)English summary from Japanese

株式会社HACARUS

✓ Detailed

Salary

500万円〜1000万円

Location

京都府

Job Type

Full-time

Work Style

9:00～18:00

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Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

As a Machine Learning Engineer, you will optimize and implement image analysis models developed in PyTorch for edge devices. This role focuses on the practical application of AI models, moving beyond research to real-world deployment and performance tuning.

Must-haves

Understand and modify PyTorch image analysis models for edge device compatibility.
Perform model conversion for INT8 quantization, ONNX export, and inference runtimes.
Identify and replace unsupported PyTorch operations with alternatives for edge deployment.
Evaluate model performance (accuracy, speed, memory usage) on edge devices.
Implement Python scripts for evaluating image analysis models using metrics like Precision, Recall, IoU, mAP.
Build and manage reproducible evaluation environments.
Utilize Git/GitHub for code management, reviews, and team development.
Document and share findings on model conversion, quantization, and evaluation results.

Nice-to-haves

Experience with model optimization and acceleration for edge devices.

About the Company