Artificial Intelligence Enginee

Job description
ResponsibilitiesDesign NLP applications.Expertise in Document/Text classification using SMOTE, BERT, XLNet, etc. and comparingresults for better accuracy and efficiency.R&D on text classification using BERT and transformers PytorchPromote new EDA techniques for the desired output results. (EDA: Exploratory data analysis)Knowledge on handling imbalanced dataResearch 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 tasksRequirements And Skills RequiredExpertise in NLP (Natural Language Processing) with hands-on of models suchas BERT, XLNet or SMOTEExperience with machine learning frameworks (like PyTorch or TensorFlow orKeras) and libraries (like NLTK, Spacy, Transformers, etc.)Deep understanding of text classification, Deep Learning, Machine Learning,Data Extraction, statistics and classification algorithmsUnderstanding of NLP techniques for text preprocessing, text representation,semantic extraction techniques, data structures and modelingProficiency in programming in Python and Gitetc.Strong Communication skills.