ML/AI Engineer (Computer Vision)

TL;DR

ML/AI Engineer (Computer Vision): Developing and deploying next-generation computer vision and edge AI solutions for large-scale real-world environments with an accent on object detection, tracking, and re-identification. Focus on optimizing model performance for production-scale deployment and building reliable evaluation and validation workflows.

Location: On-site in Taipei City, Taiwan

Company

A fast-growing AI technology company building next-generation computer vision and edge AI solutions for global markets across Asia, Europe, and North America.

What you will do

• Develop and improve computer vision and deep learning models for production applications.
• Work on object detection, multi-object tracking, and re-identification tasks.
• Build reliable evaluation, benchmarking, and validation workflows.
• Optimize model performance for real-world deployment environments.
• Collaborate with backend, platform, and product teams to integrate AI capabilities.
• Analyze model performance and troubleshoot inference-related issues to improve system reliability.

Requirements

• Strong Python development skills with solid software engineering practices.
• Hands-on experience with deep learning and computer vision.
• Practical experience in Object Detection, Multi-object Tracking, and Re-Identification.
• Strong understanding of model evaluation methodologies and CV metrics.
• Experience exporting and validating models using ONNX or similar frameworks.
• Location: Must be based in Taipei City, Taiwan (On-site).
• English: Good communication skills for collaboration with international teams.

Nice to have

• Experience with Vision-Language Models (VLMs).
• Experience with video-based or multi-camera AI systems.
• OpenVINO optimization and quantization (FP16 / INT8).
• Real-world AI deployment experience in retail, manufacturing, or smart environments.
• Experience maintaining ML evaluation or benchmarking pipelines.