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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
• Experienced professional with full understanding on specialized areas; resolves a wide range of issues in creative ways
• Works on problems of diverse scope where analyzing data requires evaluating identifiable factors. Demonstrates good judgement in selecting methods and techniques for obtaining solutions
• Normally receives little instruction on day-to-day work and receives general instructions on new assignments
• Typically requires minimum 5 years' of related experience and a Bachelor's degree, or 3 years and a Master's degree; or a PhD without experience
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