Main fields of development are :

• Classify posts and accounts from 12 sm/fintech platforms covered in order to get nuanced sentiment (e.g. bullish bots or long-short FOMO) towards more than 20k assets (stocks, etf, crypto)
• Classify accounts by their professionalism and stance to certain market strategies

Gradient boost (XGB, LGBoost, Catboost) based on text/image features to classify retail investor profiles and posts

NLP models:

• HuggingFace Transformers (currently MT5, T5, XLM-roberta, for Weavitae-db embedding representation we use Sentence-based Transformer models)

NLP preprocessing

• Be able to come up with quick embeddings realization
• Frameworks like Rubrix for labeling data is a great plus
• Keyword extraction with KeyBert, yake, multi-rake, summa - needs understanding of both tf-idf and deep models

Active participation in company life (e.g. new ideas, pet projects, opensource) is much appreciated

Understanding of Chinese social media platforms, especially: WeChat, Weibo, Zhihu

Preferred Qualifications

Highly appreciated but not crucial:

• GAN’s
• Adversarial attacks (poison and evasion on text and graphs)
• PyTorch Serve