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.

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 collaborative 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.

Lugar de trabajo