Responsibilities:

 Design NLP applications.

 Expertise in Document/Text classification using SMOTE, BERT, XLNet, etc. and comparing

results for better accuracy and efficiency.

 R&D on text classification using BERT and transformers Pytorch

 Promote new EDA techniques for the desired output results. (EDA: Exploratory data analysis)

 Knowledge on handling imbalanced data

 Research and development on Dynamic table extraction.

 PoC on extracting information from pdfs using Tabula and the likes. (PoC: Proof of Concept)

 Extend ML libraries and frameworks to apply in NLP tasks

 Requirements and Skills Required:

 Expertise in NLP (Natural Language Processing) with hands-on of models such

as BERT, XLNet or SMOTE 

 Experience with machine learning frameworks (like PyTorch or TensorFlow or

 Keras) and libraries (like NLTK, Spacy, Transformers, etc.)

 Deep understanding of text classification, Deep Learning, Machine Learning,

Data Extraction, statistics and classification algorithms

 Understanding of NLP techniques for text preprocessing, text representation,

semantic extraction techniques, data structures and modeling

 Proficiency in programming in Python and Gitetc.

 Strong Communication skills.