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Mid-level, popular Data Scientist role in Bangalore with broad GenAI requirements and known brand increases competition.
Core NLP and ML skills transfer across industries, but GenAI specialization raises domain specificity to medium.
Explicit 5+ years, GenAI/NLP specialization, and required ML frameworks imply high shortlisting strictness.
Develop and implement advanced NLP models focusing on text classification, sentiment analysis, entity recognition, and language translation using machine learning and deep learning techniques.
Preprocess, clean, and engineer features from large volumes of unstructured textual data to improve model accuracy and performance.
Collaborate with cross-functional teams to integrate NLP solutions into systems, optimize algorithms, and document methodologies for reproducibility.
Master's degree in Computer Science, Data Science, Statistics, or related field.
Minimum 3 years of professional experience in data science with a focus on Gen AI and NLP.
Strong programming skills in Python or R and expertise in NLP libraries/frameworks such as NLTK, SpaCy, TensorFlow.
Proficiency in machine learning techniques including supervised and unsupervised learning and experience with deep learning frameworks like TensorFlow or PyTorch.
Experienced in applying NLP and Gen AI techniques within complex, large-scale data environments to extract meaningful insights from textual data.
Capable of end-to-end ownership including model development, optimization, evaluation, and cross-functional collaboration for NLP projects.
Comfortable working with both traditional machine learning and deep learning methods, and integrating solutions into broader software and data engineering systems.