Job Description of Natural Language Processing (NLP) Analyst

Job Summary

A Natural Language Processing (NLP) Analyst specializes in developing AI-driven solutions that help computers understand, interpret, and generate human language. They work with large text datasets, build language models, and refine algorithms to improve machine-human interaction. By leveraging NLP techniques such as sentiment analysis, text classification, and chatbot development, they enhance customer experiences, automate processes, and unlock valuable business insights. NLP Analysts bridge the gap between linguistics and AI, enabling businesses to process and analyze text at scale.

Key Responsibilities:

• Develop and fine-tune NLP models for text classification, sentiment analysis, named entity recognition, and more.
• Preprocess and clean textual data to improve model performance.
• Implement and optimize machine learning algorithms for speech and text applications.
• Work with deep learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy, NLTK, and Hugging Face.
• Collaborate with data scientists, software engineers, and business teams to integrate NLP solutions into applications.
• Evaluate model accuracy and continuously improve NLP systems through training and testing.
• Stay up to date with advancements in NLP, AI, and computational linguistics.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Linguistics, or a related field.
• 2+ years of experience in NLP, AI, or text analytics roles.
• Proficiency in Python and NLP libraries like spaCy, NLTK, or Transformers.
• Strong understanding of linguistic patterns, semantics, and computational linguistics.
• Experience with cloud-based NLP tools (AWS, Google Cloud, or Azure) is a plus.

An NLP Analyst empowers machines to understand human language, revolutionizing communication and AI-driven decision-making.