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
Requirements
Advanced level knowledge of Python and understanding of good coding practices
Comfortable with Linux
Experience/Knowledge with MongoDB, vector databases and Flask
Experience in NLP and machine learning libraries (e.g., spacy, transformers, Scikit Learn,
TensorFlow, Hugging face ,pytorch ,Langchain)
Knowledge of common methods in information extraction
Experience with tools and methods for feature engineering
Strong drive to learn and acquire missing skills
Strong research and problem-solving skills
Excellent communication (written, verbal) and teamwork skills
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