Research on human language technologies (i.e. speech recognition, machine translation, natural language processing) to support information processing
Develop statistical and machine learning techniques on multimodal datasets to address business needs
Perform data preprocessing and feature engineering, build and deploy machine learning models, and design experiments to evaluate techniques and algorithms
Collaborate closely with business users to extract actionable insights from data and develop analytics solution to meet their needs
Actively conduct technology scans to understand technical and commercial drivers and leverage these technology advances and opportunities to guide in-house R&D efforts
Work with software developers to integrate analytics into enterprise systems
Job Requirements:
Master’s and/or Bachelor’s degree in computer science, electrical engineering, industrial engineering, information systems, mathematics, statistics or other quantitative/analytical fields
Proficiency in programming languages such as Python, MATLAB preferred (e.g. familiarity with Python-based machine learning libraries such as scikit-learn, numpy/scipy and pandas)
Strong understanding in one or more of the following areas preferred:
Machine learning
Natural language processing
Speech processing or computational linguistics
Information retrieval
Data clustering, categorisation, entity extraction