- Conduct technology research in machine learning (ML), deep learning (DL), natural language processing (NLP) and/or augmented analytics (AA).
- Propose text/data analytical solutions to tackle real-world problems.
- Conduct systematic proof-of-principle (POP) and proof-of-concept (POC) development for proposed algorithms/solutions.
- Develop reusable modules/libraries in Python to support ML/DL/NLP/Analytical tasks.
- Collaborate with engineers/developers in the development process of final AI/data product and facilitate deployment onto production environment.
- Provide professional consultancy to support client projects.
- Master (Data Scientist) or PhD (Researcher) degree in computer science, statistics, or related disciplines. PhD preferred.
- Minimum 3 year’s relevant experience in machine learning, natural language processing, augmented analytics, and/or knowledge graph with proven track record. Minimum 6 year’s relevant experience required for Senior Researcher.
- Hands-on experience in Python and common data processing and machine learning libraries, such as pandas, numpy, scikit-learn, nltk, fastText, etc.
- Hands-on experience in developing machine learning and deep learning models using TensorFlow or PyTorch.
- Comfortable with Linux working environment and container-based workflow (e.g. docker, Kubernetes, etc). Strong shell scripting skill is a plus.
- Able to use version control (GIT) efficiently and understand basic coding collaboration principles. Knowledge in CI/CD pattern is a plus.
- Participation in opensource projects is a plus.
- Good problem-solving skills and self-motivated
- Good communication and presentation skills
- Good command of English and Chinese
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