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).

- Strong 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 solid 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) (Delhi)
🏢 The Search House
📍 Delhi