Hugging Face Jobs

I need an NLP workflow that ingests social media posts, customer reviews, and email messages, then detects the dominant emotion—Happy, Sad, or Angry—in each piece of text. The solution should be reliable enough for daily, automated processing and simple to retrain as my data grows. I already have raw text stored in CSV files; you can assume each record contains a unique ID and a text field. Your job is to: • Clean and normalise the text (language is English only). • Build or fine-tune a model that classifies the emotion with high accuracy. • Expose the results through a concise report (precision, recall, F1) and a small demo script or notebook that shows end-to-end usage. Python, spaCy, Hugging Face, or similar libraries are welcome—as long as the fi...

I need a locally-hosted AI automation platform whose single, clear purpose is to boost day-to-day business efficiency. The focus is on automating order-processing steps that currently slow us down and on intelligently handling the customer information those orders generate. The core workflow I have in mind is simple: an order comes in, the platform captures the associated customer details from our database or front-end form, routes the data through an AI layer that validates, enriches, and formats it, then posts everything back into our ERP with minimal human input. The result should be faster turnaround, fewer manual touchpoints, and cleaner data. You are free to choose a tech stack that makes sense—Python, Node.js, FastAPI, or similar server frameworks alongside an ML compone...