Resume Parsing Engineer or NLP Engineer

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.

1. 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.
2. 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.
3. 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.
4. Text Extraction:
• Proficiency in using libraries like Apache Tika, Apache POI, or PDFBox for extracting text from various resume formats (PDF, DOCX, etc.).
5. 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.
6. 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:

1. Data Cleaning & Preprocessing:
• Expertise in cleaning, transforming, and normalizing text data to improve parsing accuracy.
2. 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.
3. APIs & Integration:
• Experience in building or integrating with APIs for resume parsing (if you plan to integrate external services).
4. Version Control:
• Knowledge of Git for version control and collaborative development.
5. 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.