Experience: Min 3+ years of experience working with resume parsing , NLP , or text extraction systems. Experience in building or integrating AI-driven resume parsing tools . Familiarity with ATS systems or similar recruitment-related software is a plus. Programming Languages : Proficiency in Java (or Python if you are open to using Python-based solutions) for implementing parsing logic. Knowledge of Regex for text extraction and pattern matching. Natural Language Processing (NLP) : Experience with NLP libraries like SpaCy , Stanford NLP , or Apache OpenNLP for Named Entity Recognition (NER) and text classification. Familiarity with text preprocessing techniques, such as tokenization, stemming, lemmatization, and stop word removal. Machine Learning : Experience with machine learning models for entity extraction and classification. Familiarity with frameworks like Scikit-learn , TensorFlow , or PyTorch for building and training custom models for resume parsing. Text Extraction : Proficie...