Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models.
Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications etc
Proficiency in data preprocessing techniques such as text cleaning, tokenization, normalization,handling of special characters is essential for preparing data for fine tuning language models.
Knowledge of machine learning concepts like neural networks, optimization algorithms, model evaluation techniques.
Deep learning expertise w.r.t NLP
Expertise on adapting pre-trained language models to specific tasks and domains
Experience with hyperparameter tuning methods such as grid search, random search, or Bayesian optimization for optimizing model performance during fine tuning.
Experience in financial lending domain customer onboarding, loan servicing, collections.
Expertise with tools and frameworks for handling large datasets.
Ability to evaluate model performance using appropriate metrics and interpret model predictions
Awareness of ethical considerations related to language models, such as bias mitigation, privacy preservation, and responsible AI practices
