About the role
Must have skills:
• Python Programming: Proficiency in Python,
• 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 • Ability to work with existing customer systems.