Python developer needed for a resume parser project

We are looking for a skilled Python developer to assist in the development of an intelligent resume parser for our ATS.

Key requirements for the resume parser include:

- Accurate and efficient parsing of a predetermined set of structured fields based on a resumes main sections and sub-sections

- Extraction of clean, dis-aggregated, and normalized data for each field, e.g. Bachelor of Arts in Economics --> { degree: Bachelor of Arts, major: Economics}

- Ability to automatically handle documents of multiple formats, including doc, docx and PDF. This includes both text- and image-based documents (using OCR), as well as multi-columned documents

- Output of parsed resume data in a standardized JSON format

- Ability to programatically test the accuracy of the parser with an existing sample resume dataset for continuous improvement

- Ability to programatically train the parser with a growing sample resume data set to continually increase its level of accuracy

Desirable skills and qualifications for the task include:

- Excellent command of the Python programming language

- Solid understanding of and practical experience with document parsing / data extraction

- Experience with natural language processing (NLP) and relevant Python libraries such as NLTK and / or Spacy

Work on the parser has already begun with the current version of the parser able to:

- Load and read a variety of document types with Pythons Textract library

- Break the resume into sections based on a data dictionary of common section headings

- Extract basic fields such as name, email, phone number, and skills

Current extraction of entities such as skills are determined by a keyword search method based on a local database. However this method is both time- and resource-intensive which is why a greater emphasis on machine learning with an NLP will be necessary going forward.

Keywords: Python, resume parser, Textract, PDFMiner, OCR, natural language processing, NLP, Spacy, NLTK, named entity recognition, NER, data extraction
About the recuiter
Member since Sep 5, 2017
Cooper
from California, United States

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