NLP Model Trainer and Annotator (Senior Data Scientist & ML Systems Engineer)
The candidate designed, built, and deployed NLP pipelines for text classification, sentiment analysis, transformer-based models, and topic modeling. They also developed prompt-engineered workflows for business insight generation from structured and unstructured text data using large language models. Responsibilities included model training, evaluation, and iterative improvement based on text annotation and AI training feedback. • Conducted manual and automated text annotation for training and evaluating NLP models. • Developed and supervised prompt design and labeling for LLM-based summarization workflows. • Supported entity recognition, text classification, and topic modeling via labeled datasets. • Integrated feedback loops with AI model outputs for continuous data labeling and improvement.