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 : Proficiency in using libraries like Apache Tika, Apache POI, or PDFBox for extracting text from various resume formats (PDF, DOCX, etc.). Data Structuring : Experience in transforming raw text into structured data (JSON, XML, or database entries).



Knowledge of data normalization and handling inconsistent formats in resumes. Database Management : Experience with database systems like MySQL, PostgreSQL, or MongoDB to store parsed resume data. Knowledge of data modeling for structuring resumes in a database. Additional Skills: Data Cleaning & Preprocessing : Expertise in cleaning, transforming, and normalizing text data to improve parsing accuracy. Testing & Optimization : Ability to test the parsing system on various resume formats and optimize the parsing logic for better accuracy and speed. Familiarity with unit testing and test-driven development (TDD) for parsing functionalities. APIs & Integration : Experience in building or integrating with APIs for resume parsing (if you plan to integrate external services). Version Control : Knowledge of Git for version control and cooperative development. Problem Solving : Strong debugging skills and the ability to handle edge cases (e.G., inconsistent resume formats). Soft Skills: Strong communication skills for collaborating with the development team. Attention to detail for ensuring high accuracy in parsing. Ability to work independently and in a fast-paced development environment.

📌 Resume Parsing Engineer Or Nlp Engineer (Nalgonda)
🏢 Talent Smart
📍 Nalgonda