AI Developer
1 month ago
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.
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