Train and evaluate NLP models, using both custom datasets and existing available language models, such as Spacy, CRF, LSTM, BERT and RoBERTA, LLM models etc.
Update and improve models for NLP tasks, such as multi-label classification, sentiment analysis,NER and text summarization, and produce new models and solutions based on business requirements.
Experience/Knowledge of deploying the applications on cloud servers.
Information retrieval (with web scraping and parsing)
Maintain and sanitize entries in the databases
Write wrappers to connect backend with frontend UI
