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 : Strong programming skills in Python (preferred) or Java/C#.

Experience with NLP frameworks (SpaCy, NLTK, Hugging Face, BERT/transformers). Knowledge of resume data structures (HR-XML, JSON Resume, etc.). Proficiency in regex & text preprocessing techniques.

Experience with OCR libraries/tools. Familiarity with ML frameworks (PyTorch/TensorFlow). Database knowledge (SQL/NoSQL). Solid grasp of REST API development. CI/CD pipelines & cloud deployment desirable /can be learnt Education &

Experience: B.E/B.Tech /MCA or related field. 2-5 years of experience in software development with a focus on NLP/Resume Parsing/ATS-related applications. Prior experience in building or working with resume parsers, ATS, or HR tech platforms is a strong plus.

Soft Skills : Analytical mindset with strong attention to detail. Ability to handle edge cases across diverse resume formats. Team player with strong communication skills. Innovative thinker with problem-solving orientation .

📌 Software Developer (Resume Parsing - NLP, ML, OCR) (India)
🏢 The Search House
📍 India