Resume Parsing Engineer or NLP Engineer
Tasks
- Build resume parsing systems
- Clean normalize and normalize text data
- Debug edge cases in inconsistent resume formats
- Develop and integrate parsing APIs
- Develop machine learning models for entity extraction and classification
- Extract entities from resume text
- Extract text from resume files
- Implement text preprocessing pipelines
- Integrate AI-driven resume parsing tools
- Optimize parsing logic for accuracy and speed
- Store parsed resume data in databases
- Test parsing on multiple resume formats
- Transform unstructured text into structured data
- Use unit testing and TDD for parsing features
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache OpenNLP | Apache POI | Apache Tika | Data Modeling | Data Normalization | Entity recognition | Git | JSON | Java | Lemmatization | MongoDB | MySQL | Named Entity Recognition | PDFBox | PostgreSQL | PyTorch | Python | Regex | Scikit-learn | Spacy | Stanford NLP | Stemming | Stop Word Removal | TensorFlow | Test-Driven | Test-Driven Development | Text Classification | Tokenization | Unit Testing | XML
Education
N/A
Roles
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