Job Description

The Role

You'll be the architect and owner of Neo's AI infrastructure. This means training custom models for our unique use cases, building production ML pipelines, and creating the reasoning systems that make Neo intelligent. You'll work across the full ML lifecycle - from data pipelines to model training to production deployment.


What You'll Own

1. Custom Model Development & Training

Build specialized models that foundation models can't provide. Train speaker diarization for Indian accents, fine-tune embedding models for conversational memory, develop custom NER for Hindi-English code-mixing, and optimize models for edge deployment.

Key Challenges:

● Train speaker diarization models on Indian multi-speaker conversations with code-mixing

● Fine-tune embedding models for semantic search across temporal context

● Build custom NER/enti...

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