Position Summary

1. Explore areas to apply machine learning technology, develop measures on collecting data used for model learning and evaluation and collect data.
2. Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
3. Perform to optimize data analysis software, develop performance evaluation measures and evaluate.

Role and Responsibilities

1. [Finding areas to apply machine learning technology] Support to analyze data collected while using software in actual situation, measuring/inspecting process and etc. and to analyze the possibility and effect of applying machine learning technology.

2. [Collecting and managing training data] Support collecting and managing effective data used for training machine learning algorithm.

3. [Developing data pre-processing algorithm] Apply the features of collected data well and support to implement pre-processing algorithm that eases unnecessary complexity.

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

5. [Developing performance evaluation measures] Support to write and perform measures on performance evaluation to evaluate and maintain the effectiveness of developed application.

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

Skills and Qualifications

• Acquires and applies job skills and learns the company policies and procedures to complete assigned tasks that are routinely/semi-routinely in nature

• Normally follows established procedures on work. Requires instructions on tasks

• Typical entry point for high school or vocational college graduates

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