* Partner up with project managers and technical team to assist in deciphering business requirements to technical solutions * Coordinate with front-end and back-end developers to set up machine learning pipelines * Build reusable functions and libraries to pre-train models for existing and future projects * Track dataflows and system processes by incorporating them in testing, staging, and production environments * Ability to plan and explain machine learning models before development commences * Develop and deploy both traditional statistical models and machine learning techniques and algorithms: Regression, clustering, neural networks, Anomaly Detection, Random Forests etc. to improve prediction and forecasts of desired metrics.

* Ability to communicate clearly in Mandarin and English both verbal and written * Strong understanding in software development techniques, both procedural and non-procedural language * Strong proficiency in Python and Java * Experienced in using machine learning libraries (including Pandas, Numpy, Scikit-learn, XGboost, etc.) * Experienced in using deep learning frameworks (Tensorflow, Pytorch, Keras) * Familiar with the machine learning models (Decision tree, Random Forests, Gradient Boosting, Linear regression, Support Vector Machine (SVM), Multiple Layer Perceptron (MLP), etc.) * Familiar with Natural Language Processing (NLP) subjects (Stop Words, TF-IDF, Sentence Segmentation, Lemmatization, etc.), and Computer Vision (CV) subjects (Object detection, Image Classification) * Familiar with the advanced math (such as Multivariable Calculus, Linear Algebra) and Statistics (hypothesis testing, probability distribution) * Familiar with Deep learning subjects (Convolutional Neural Network (CNN), Recurrent Neural Network(RNN))