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Mid-level GenAI/NLP role in Bengaluru at a known analytics firm creates moderate candidate competition.
NLP and GenAI skills transfer across industries but domain expertise increases specificity.
Explicit five-year minimum, GenAI/NLP specialization, and framework expertise create strict shortlisting filters.
Develop and implement NLP models for tasks such as text classification, sentiment analysis, and entity recognition using machine learning and deep learning.
Preprocess, analyze, and engineer features from large textual datasets to extract meaningful insights and improve model performance.
Collaborate with cross-functional teams to integrate NLP algorithms into applications and optimize models for efficiency and accuracy.
Master's degree in Computer Science, Data Science, Statistics, or related field.
Minimum 3 years of professional experience in data science with focus on Generative AI and NLP.
Proficiency in programming languages such as Python or R and experience with NLP frameworks like NLTK, SpaCy, TensorFlow, or PyTorch.
Work Experience Required: Minimum 3 years in data science with GenAI focus.
Experienced in complex NLP projects involving text preprocessing, feature engineering, and model evaluation using metrics like precision, recall, and F1 score.
Familiar with machine learning and deep learning techniques specifically for unstructured text data and semantic analysis.
Able to collaborate cross-functionally and apply latest NLP trends and optimization techniques at scale.