Position Summary

Role and Responsibilities

1. [Finding areas to apply machine learning technology] Analyze data collected while using software in actual situation, measuring/inspecting process and etc. and execute to apply machine learning technology.

2. [Collecting and managing training data] Supervise to develop measures on collecting and managing effective data used for training machine learning algorithm.

3. [Developing data pre-processing algorithm] Reflect the features of collected data well and design pre-processing algorithm that eases unnecessary complexity.

4. [Developing modeling and pattern recognition algorithm] Design suitable machine learning model or algorithm in accordance with the purpose of application that users want.

5. [Developing performance evaluation measures] Execute performance evaluation strategy to evaluate and maintain the effectiveness of developed application.

6. [Securing and managing large-scale computing resources] Supervise to manage computing server to use algorithm that requires massive computing resources such as deep learning and massive data.

Skills and Qualifications

• Has broad expertise or unique knowledge, uses skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways

• Actively solves complicated issues by analyzing situations or data even if it seems like there is no solution

• Acts independently to determine methods and procedures on new or special assignments

• May supervise the activities of others

• Generally requires a minimum 12 years of related experience and a Bachelor's degree, or 10 years and a Master's degree, or a PhD with 7 years experience

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