AI Natural Language Processing (NLP) Specialist
SKILLS
FULL DESCRIPTION
Summary
Design and implement NLP algorithms for language understanding, develop AI systems for tasks like text summarization, sentiment analysis, and chatbots, optimize NLP models for real-time performance, collaborate with linguists and data scientists to enhance model accuracy, and present AI-driven language solutions to stakeholders.
Key Responsibilities/Duties: Design and implement NLP algorithms for language understanding. Develop AI systems for tasks like text summarization, sentiment analysis, and chatbots. Optimize NLP models for real-time performance. Collaborate with linguists and data scientists to enhance model accuracy. Present AI-driven language solutions to stakeholders.
Core Requirements/Qualifications/Skills: Experience in Python, and NLP libraries (e.g., spaCy, NLTK, Hugging Face). Strong understanding of deep learning techniques for language modeling. Knowledge of Transformer-based models (e.g., BERT, GPT). Excellent problem-solving and collaboration skills. Bachelor’s or Master’s in AI, Linguistics, or related field.
Responsibilities:
Design and implement NLP algorithms for language understanding. Develop AI systems for tasks like text summarization, sentiment analysis, and chatbots. Optimize NLP models for real-time performance. Collaborate with linguists and data scientists to enhance model accuracy. Present AI-driven language solutions to stakeholders.
Requirements:
Experience in Python, and NLP libraries (e.g., spaCy, NLTK, Hugging Face). Strong understanding of deep learning techniques for language modeling. Knowledge of Transformer-based models (e.g., BERT, GPT). Excellent problem-solving and collaboration skills. Bachelor’s or Master’s in AI, Linguistics, or related field.