Role overview
About this role
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] Analyze data collected while using software in actual situation, measuring/inspecting process and etc. and analyze the possibility and effect of applying machine learning technology.
2. [Collecting and managing training data] Perform 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 implement pre-processing algorithm that eases unnecessary complexity.
4. [Developing modeling and pattern recognition algorithm] Implement suitable machine learning model or algorithm in accordance with the purpose of application that users want.
5. [Developing performance evaluation measures] Write and perform measures on performance evaluation to evaluate and maintain the effectiveness of developed application.
6. [Securing and managing large-scale computing resources] Participate in managing computing server to use algorithm that requires massive computing resources such as deep learning and massive data.
Skills and Qualifications
- Learns to use professional concepts. Applies company policies and procedures to resolve routine issues
- Works on problems of limited scope. Follows standard practices and procedures
- Normally receives detailed instructions on all work
- Typical entry point for university graduates
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