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Total Performance Consulting

Sr. AI/ML Engineer

Posted an hour ago
5-10 years experience
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AI Summary

You will lead the development of core machine learning systems, including fine-tuning large language models and building NLP pipelines for insurance documents. Additionally, you will architect scalable training workflows and implement intelligent agents to automate complex web interactions.

As the  Sr AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement.

This is a senior role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team.

You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction.

Responsibilities:

  • Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents. 

  • Lead the development and fine-tuning of large language models tailored to our domain. 

  • Architect training workflows that use user feedback and corrections to continually improve model performance.

  • Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.

  • Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures.

  • Design robust evaluation pipelines and performance metrics for all models.

  • Help architect scalable systems to support training, inference, and feedback pipelines.

  • You’ll be building core systems from scratch.

Qualifications:

  • 6+ years with Python development experience

  • 4+ years experience as an AI/ML Developer.

  • JavaScript / Node.js / React

  • Experience with Mongo DB and AWS

  • Upper Intermediate English level

Position Details

  • Remote: Fully-remote
  • Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City,  Belize City

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