This role involves developing and refining Natural Language Processing (NLP) systems.
Responsibilities include meticulous text preprocessing and feature extraction using tools like spaCy or NLTK, fine-tuning transformer-based models for specific tasks like intent classification, and leveraging a solid understanding of linguistic principles (grammar, syntax, semantics) to enhance AI model comprehension. The position demands attention to detail, creative problem-solving in crafting solutions, and a commitment to continuous learning to stay abreast of evolving NLP advancements.
spaCy, NLTK, TextBlob
Hugging Face Transformers, BERT, GPT
OpenAI API, Dialogflow, Rasa
Pinecone, FAISS (for semantic search)