AI Engineer is responsible for understanding the business problems, identifying/applying right AI or cognitive computing technologies to solve problems and involving in formulation and execution of technologies recipes for commercial deployment.

1. Understand the business problem, challenge of existing technologies and areas of application for AI technologies.

2. Developing Data cleaning, Data preprocessing, feature engineering, modeling and so on.

3. Identify and choose right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.

4. Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.

5. Involve in development of AI Platform and AI projects.

1. B.S. Degree in Computer Science, Information Systems, or other related fields.
2. Familiar with machine learning model(DNN/CNN/RNN)
3. Familiar with machine learning, image recognition, or NLP
4. Proficient in Python, C++, or equivalent languages
5. Experience on TensorFlow, Caffe, Keras.

Firstly, we will review your resume and send you interview questionnaire if passed the review. Once move along the process, the whole interview phases will take roughly 2-3 weeks. We will totally be having 2 interviews and 1 follow up meeting. Each interview takes approximately 1 hour.

• Interview questionnaire for review
• 1st interview with reporting line manager for hard-skill set check
• 2nd interview with HR manager or stakeholders for culture fit and soft-skill set check
• Follow-up meeting to discuss package, working model and probation tasks

Working location and package is negotiable once passed probation.