NLP Engineer - Text Classification & Conversational AI
Kula Example
Kula Example is seeking an NLP Engineer to design and deploy natural language understanding systems powering our core product in San Francisco. The role focuses on building robust text classification, entity extraction, and conversational AI features using Python, PyTorch, and Hugging Face Transformers. The ideal candidate has 3+ years in NLP/NLU, hands-on experience with LLMs, fine-tuning, and prompt engineering, and holds an MS in CS or a related field. #J-18808-Ljbffr Kula Example
- About the Job About: We are seeking an NLP Engineer to design and deploy natural language understanding... ...responsible for building and deploying text classification and entity extraction pipelines, developing and optimizing conversational AI models, and collaborating with the...Suggested
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