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Job Description

From the edge computing viewpoint, we provide our customers with high accuracy, reliability, and secure cloud-based all-in-one smart manufacturing inspection solution. About cloud solution, we provide real-time data collection, big data management, cloud analysis, predictive maintenance, and dashboard system.

Job Responsibilities

• Analyze the challenging detection problems and select a suitable model or methodology to get top detection accuracy.
• Fine-tune image capture system to get suitable image quality for processing or training.
• Develop practical labeling tool application.
• With the ability to prepare, argumentation, labeling, and manage the training dataset, to achieve efficient training result.
• Develop and optimize algorithms in the areas of deep learning and AOI based.
• Familiar and optimize the training factors to make the best convergence rate.


Required Qualifications
• Knowledge of OpenCV, C/C++, and Python
• Familiar with mainstream deep learning toolkits, such as Tensorflow, MXNet, Pytorch, Caffe2, CNTK, etc.
• Familiar with cloud AI service, such as Azure AI architecture.
• Active thinker, creator, and with a passion for verifying the innovated ideas with Teamwork.

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About us

Getac was established in 1989 as a joint venture with GE Aerospace to supply defense electronic products. Getac is one of the key subsidiaries of MiTAC-Synnex Business Group.

As one of the leading rugged computer manufacturers, Getac offers not only rugged computing products but also automotive mechanical parts and aerospace fasteners.

神基科技成立於 1989 年,由聯華神通關係企業神通電腦(MiTAC Inc.)與美國奇異航太部門(GE Aerospace)共同合資成立,專門提供國防電子相關設備。