
Overview
Job Title: AI/NLP Engineer
Location: Bhubaneswar/Remote
About the Role:
You’ll lead development of intelligent scoring algorithms to evaluate resumes, detect
fakes, and match candidates to job descriptions using NLP and vector similarity.
Responsibilities:
Build semantic match models (e.g., BERT embeddings, cosine similarity).
Detect fake resumes via time overlaps, skill inflation, and inconsistencies.
Normalize skills and titles using NLP pipelines.
Implement resume scoring based on match %, readability, and experience.
Feed outputs to backend for recruiter UI consumption Tech Stack.
Python, spaCy, HuggingFace Transformers.
OpenAI API or custom embedding models.
Pinecone, FAISS, or ElasticSearch vector search.
Pandas, Scikit-learn for early modeling.
Qualifications:
3+ years in NLP/ML.
Hands-on experience with resumes, HRTech, or document parsing preferred.
Strong skills in model tuning and evaluation.
Job Type: Contractual / Temporary
Work Location: Remote