AI Engineer (Python, Machine Learning)
2018-03-22 -> 2018-03-23
- Must have:
- - Computer Science Fundamentals and Programming (include data structures, algorithms, computability and complexity, computer architecture, etc.)
- - Probability and Statistics
- - Data Modeling and Evaluation
- - Applying Machine Learning Algorithms (regression, decision tree, nearest neighbor, neural net, support vector machine, ensemble of multiple models, etc.) and Libraries (e.g. scikit-learn, Theano, MLlib, TensorFlow etc.)
- - Software Engineering and System Design (including requirements analysis, system design, modularity, version control, testing, documentation, etc.)
- Nice to have:
- - Ability to read/write/communicate in English or Japanese. Japanese is preferred
- - Highly motivated and business driven professional with a can-do attitude.
- - Experience as researcher and engineer in the area of data analytics, machine learning, computer vision or other AI related field is prefer
- Research and develop AI-based applications including regression, classification, clustering, recommendation, deep learning.
- - Research and develop in cloud environment (Amazon, Google, IBM)
- - Up-to-date technical knowledge in Cloud service, Big Data and Machine Learning related field (computer vision, NLP, etc.)
- - Presenting complex technical topics in a clear and structured way, ability to moderate discussions, meetings, and projects.
- - Professional knowledge of at least one programming language. Python is preferred