March 19
Loading...
• 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
• 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
• Competitive salary • Health insurance • Flexible work hours • 401k retirement plan
Apply Now