Experience: ~1.5 to 4 Years

Language: Python is a must

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.