工作职责:
 
1. establish the ai/ natural language processing (nlp) technology portfolio accordingly according to business needs, develop nlp capability of the team;
 
2. formulate ai/nlp problems, develop and apply cutting-edge ai methodologies on text/documents data cleansing, transformation and normalization, association analysis, data mining (prediction, classification), workflow optimization, visual analytics (business intelligence);
 
3. deliver solid technical results in real-world nlp problems: tagging, pos analysis, sentence alignment, language models, machine translation, summarization, semantic analysis, text mining;
 
4. apply and customize (training/fine-tuning) deep learning nlp frameworks (tensorflow/pytorch) to improve performance on nlp applications
 
5. take ownership and complete ai projects with business partners, coordinate with data scientists, engineers, and it to make scalable big data and ai deployment;
 
6. study and share cutting-edge ai/nlp technologies and use-cases related to businesses, promote big data & ai results and best practices across businesses
 
任职资格:
 
requirements:
 
1. master/phd in stem or related areas (e.g. ai, machine learning, biomedical engineering) with industrial experience in ai and nlp projects;
 
2. excellent problem analysis and solving skills with outstanding communication and teamwork capability, good sense of data and outstanding research capability;
 
3. hands-on experience in real-world data analysis applications with competency of building practical data analytics pipelines with result visualization (using python, r, java, nosql, etc.),
 
4. hands-on experience using deep learning frameworks (tensorflow/pytorch) and nlp frameworks: rnn/rstm/transformer/bert/gpt for nlp applications;
 
5. knowledge and experience in pharmaceutical and clinical domains is preferred;
 
education (indicate the mini. requirement & preferred discipline):
 
master degree/phd degree
 
other skills, abilities & experience:
 
senior requirement: 3-year experience in nlp and in related domains; principal:5-year