Seeking an experienced AI/ML Engineer to advance an AI meeting assistant application. Responsibilities include designing and implementing robust speech-to-text, speaker diarization, and natural language understanding pipelines; fine-tuning transformer models for summarization, action-item extraction, and intent classification; optimizing inference for real-time performance on cloud or edge; ensuring data privacy and scalable deployment. Ideal candidate has proven experience with deep learning frameworks, NLP, ASR, model optimization, and production-ready ML systems.
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