NLP Engineer

Role Overview

• Design and develop natural language processing solutions to support SRHIN's data analysis, research, and digital health initiatives.

Key Responsibilities

• Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, and related tasks
• Pre-process and analyse large volumes of unstructured text data e.g., survey responses, health records, community feedback
• Collaborate with the research team to apply NLP techniques to health and social research questions
• Evaluate and improve model performance and accuracy
• Document methodologies and maintain reproducible workflows

Required Qualifications & Experience

• Bachelor's, Master's, or PhD in Computer Science, Computational Linguistics, Data Science, or a related field
• Minimum of 2 years' experience in NLP or related machine learning work
• Proficiency in Python and NLP libraries/frameworks e.g., spaCy, NLTK, Hugging Face Transformers
• Strong understanding of language modelling and text data pipelines
• Experience applying NLP in health or social science contexts is an advantage

Method of Application

Interested and qualified? Go to Slum and Rural Health Initiative on docs.google.com to apply