Perform

AI/ML Engineer

Perform  •  Departamento de Montevideo, UY (Onsite)  •  3 months ago
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AI Success™

Job Description

As the 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 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:

  • 5+ years with Python development experience
  • 3+ years experience as an AI/ML Developer.
  • JavaScript / Node.js / React
  • Experience with Mongo DB and AWS
  • Upper Intermediate English level
Perform

About Perform

Founded in 2005, Perform has helped hundreds of companies including McGraw Hill, Shutterfly, TJ Maxx, and AON solve complex bottlenecks in their software delivery workflow. There are two ways to Perform:

1. Hire with Perform: It takes great teams to ship great products. The thing is, finding the right hire isn't always easy. That's why we made it easy to augment engineering, QA, and DevOps teams with highly qualified nearshore candidates. Companies can save up to 70% on staffing costs - all without sacrificing quality.

2. Build with Perform: As the saying goes, "We don't rise to our goals, we fall to the strength of our systems." This highlights the importance of addressing gaps & bottlenecks in the SDLC. When teams need help in modernizing their development, quality, or delivery strategy, they can work with our team of expert consultants to do exactly that.

How to start with Perform:

E-mail: info@totalperform.com

For more information, visit: https://totalperform.com

Industry
Unknown
Company Size
51-200 employees
Headquarters
Atlanta, Georgia
Year Founded
2005
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