Data Science Engineer (ML, NLP)

Michael Page

  • 香港
  • 長期
  • 全職
  • 1個月前
  • 輕鬆應徵
About Our ClientOur client is a well-known Insurance company in Hong KongTo cope with their business growth, they are currently hiring a Data Science Engineer (ML, NLP) to develop and scale innovative NLP/ML/DL algorithms to normalize data insights from unstructured data. Also, develop data pipelines and ETL to perform advanced analytics, which focusing on customer, marketing & sales journey. And informing the business decisions of the group.Job Description
  • Work closely with business teams to identify business needs and develop data-driven solutions that drive growth
  • Delivering Machine learning model end to end
  • Write test scripts to ensure the quality and reliability of the code/ model
  • Design and develop Machine Learning/ Natural Language Processing/ Deep Learning models to inform business decisions
  • Develop and scale innovative ML/ML/DL algorithms to data insights from unstructured data
  • Develop and maintain documentation of AI models, algorithms, and applications
The Successful Applicant
  • Degree in Computer Science, Data Science, Engineering, Statistics or relevant disciplines
  • At least 5+ years experience in data science and Advanced Analytics
  • Experience in ML, NLP, DL development and implementation
  • Experience with at least one machine learning library (Keras, Tensorflow, Caffe, or PyTorch)
  • Hands-on with Python
  • Hands-on experience in NLP, NER, Entity Disambiguation, and Information Extraction.
  • Experience in any large Public Cloud platform (AWS/ Azure/ GCP) is a plus
  • Hands-on GenAI business application experience a plus
  • Good understanding of data crawling, extracting, and processing (Scrapy, pandas, Map Reduce, SQL, Beautiful Soup, etc)
  • Good understanding of Linux/UNIX, HTTP, HTML, JavaScript
  • Candidates from financial services, insurance, banking, and investment background is a plus
  • Strong communication skills in Chinese and English (both spoken and written)
What's on OfferOur client provides attractive compensation and a sustainable career path.

Michael Page