[Machine Learning Engineer] Edge AI / Model Optimization Specialist (Kyoto Office)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 understand and modify PyTorch image analysis models for edge devices. This role focuses on optimizing models for inference speed, accuracy, and memory usage on edge hardware.

Must-haves

Experience understanding and modifying PyTorch image analysis models for edge devices.
Ability to optimize models for inference speed, accuracy, and memory usage.
Experience with model conversion, quantization (e.g., INT8), and ONNX export.
Proficiency in Python for implementing evaluation scripts.
Experience with Git/GitHub for code management and team development.
Ability to document and share findings on model conversion, quantization, and evaluation results.

Nice-to-haves

Experience identifying and replacing unsupported PyTorch operations for edge devices.
Experience building and operating reproducible evaluation environments.
Familiarity with MLOps practices for quantitative evaluation and validation reproducibility.
Experience with smart factories or IoT.

About the Company