AI FAQ Automation Specialist vs AI Intent Classification Specialist

B AI Intent Classification Specialist Only

• Intent taxonomy design and hierarchical label architecture
• Utterance corpus curation, annotation strategy, and active learning loops
• Transformer-based text classification fine-tuning (BERT, DistilBERT, DeBERTa)
• Evaluation metrics mastery - precision, recall, F1, confusion matrix analysis, and intent-level diagnostics
• Few-shot and zero-shot classification using LLM APIs (OpenAI, Cohere, Anthropic)
• NLU pipeline orchestration with Rasa, Dialogflow, AWS Lex, or custom LangChain agents
• Handling ambiguity, multi-intent utterances, and out-of-scope detection strategies
• A/B testing and champion-challenger model deployment for intent accuracy