Summary :

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

:

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

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




- Developing data pre-processing algorithm] Apply the features of collected data well and support to implement pre-processing algorithm that eases unnecessary complexity.
- Developing modelling and pattern recognition algorithm]
- Support to implement suitable machine learning model or algorithm in accordance with the purpose of application that users want.
- Developing performance evaluation measures]
- Support to write and perform measures on performance evaluation to evaluate and maintain the effectiveness of developed application.
- 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.
- Ph.D. in Computer Science, Artificial Intelligence, or a related field

📌 Artificial Intelligence/Machine Learning Scientist (India)
🏢 CAREER MAKERS
📍 India