Artificial Intelligence Engineer

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.