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Sr. AI/ML Engineer

17 hours, 23 minutes ago
Mexico, Argentina, Belize, Brazil, Chile, El Salvador, Guatemala, Honduras, Panama, Peru, Colombia, Costa Rica, Dominican Republic, Uruguay, Ecuador
Senior
Machine Learning Engineer
Software Development
AWS Computer Vision JavaScript LLM Machine Learning MongoDB NLP Node.js Playwright Python React Selenium
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Total Performance Consulting

Total Performance Consulting

Total Performance Consulting (TPC) provides software testing services including Quality Assurance, Load Testing, and Performance Engineering to industries worldwide, offering onsite/offshore options, custom testing teams, and training on QA tools like ...

Internet Software & Services
51-250
Founded 2005
View All Jobs 6

Description

  • Lead the design and development of machine learning systems and LLM-based applications.
  • Fine-tune and adapt large language models for domain-specific use cases.
  • Build NLP pipelines to extract structured data from complex, unstructured documents.
  • Translate ambiguous product goals into clear technical and ML execution plans.
  • Prioritize development work using product signals, user feedback, and backlog input.
  • Build evaluation systems to measure model performance and detect regressions.
  • Design automated benchmarking pipelines for continuous model testing.
  • Define performance metrics tied to real-world outcomes.
  • Build feedback loops that use user corrections to improve model performance over time.
  • Apply computer vision techniques to extract data from PDFs and scanned documents.
  • Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium.
  • Work across system design, infrastructure, training, and inference pipelines.
  • Build scalable ML systems and supporting infrastructure from the ground up.

Requirements

  • 6+ years of Python development experience.
  • 4+ years of experience in AI/ML engineering roles.
  • Strong experience building and deploying LLM-based systems, such as Claude or OpenAI models.
  • Comfort with modern LLM workflows such as prompting, evaluation, and iteration.
  • Experience building NLP systems for information extraction or document understanding.
  • Strong understanding of model evaluation, benchmarking, and performance measurement.
  • Experience working with JavaScript/Node.js and React in production environments.
  • Familiarity with MongoDB and AWS.
  • Experience building systems that integrate feedback loops or continuous learning.
  • Comfort working in ambiguous environments without fully defined specifications.
  • Strong communication skills with upper-intermediate or higher English.

Interested in this position?

Apply directly on the company website

Apply Now

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