01 Aug
|
The Search House
|
India
01 Aug
The Search House
India
Role Overview: We are seeking an experienced Software Developer to design and implement a resume parsing system capable of extracting, structuring, and classifying candidate information (education, skills, experience, certifications, etc.) from diverse CV/resume formats (PDF, Word, LinkedIn profiles, scanned docs). The developer will leverage NLP, OCR, and ML models to deliver an accurate, scalable, and API-driven solution that integrates seamlessly with ATS/HRMS platforms.
Key Responsibilities:
System Development & Design :
Develop parsing engines to accurately extract candidate details (contact info, skills, education, work history, projects, achievements).
Handle diverse file formats (DOCX, PDF, TXT, scanned images).
Build scalable APIs/services for integration with ATS and job portals.
NLP & Data Processing :
Implement NLP techniques for named entity recognition (NER), semantic analysis, and skill extraction.
Apply regex/rule-based methods alongside ML models to handle edge cases.
Normalize and structure extracted data into formats like JSON/XML for easy consumption.
ML/OCR Integration :
Integrate OCR solutions (Tesseract, AWS Textract, Google Vision) for image-based resumes.
Train/fine-tune ML/NLP models (SpaCy, Hugging Face Transformers, Scikit-learn) for improved parsing accuracy.
Continuously enhance parsing models with feedback loops and dataset improvements.
Testing, CI/CD & Deployment
Ensure high parsing accuracy with automated test suites and validation pipelines.
Design and manage CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar).
Containerize using Docker/Kubernetes for scalable deployment.
Deploy solutions on AWS/GCP/Azure with monitoring & logging.
Collaboration & Documentation
Collaborate with product, data, and QA teams for seamless ATS/HRMS integration.
Write clean, modular, and well-documented code.
Prepare technical documentation, workflows, and API reference guides
Key Skills & Competencies
📌 Software Developer Delhi (India)
🏢 The Search House
📍 India