Requirements:
1. A research MS degree or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
2. At least 2 years of hands-on experience with large-scale systems in data science / software engineering / machine learning engineering.
3. Experience with linear algebra, calculus, statistics, data analytics, and machine learning.
4. Exposure to industry or academic research, proven with portfolio and/or publication records.
5. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to learn about them.
6. Experience in other ML topics (NLP, speech, motion, time-series) is a plus.
7. Experience in machine learning / deep learning deployment is a plus.
8. Hands-on experience implementing or prototyping machine learning systems at scale in Python, R, Java, or similar languages.
9. Experience with TensorFlow, Keras, or PyTorch.

Job Description:
1. Help the research team to sharpen problem statement definition to various business use cases such as credit scoring development.
2.Develop cutting-edge AI solutions or technologies utilizing various types of datasets.
3. Conduct environmental scanning, collect data and facts, and analyze and deliver knowledge in a presentable manner
4. Provide and support data, facts, and research findings for miscellaneous needs (e.g., top/senior management’s PPT deck presentation in focus group discussions).
5. Take feedback, business strategies, and ideas and turn them into innovative research prototypes that can be applicable to business processes.
6. Able to create high-qualified research documentation as papers or journals for publication
7. Follow the latest trend of AI technologies and research into their applicability with the business needs.
8. Coordinate with machine learning engineers to deploy end-to-end machine learning pipeline in production.