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Machine Learning Operations Engineer; AI​/ML; Remote - Latin America

Remote / Online - Candidates ideally in
San Diego, San Diego County, California, 92101, USA
Listing for: FullStack
Full Time, Remote/Work from Home position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Machine Learning Operations Engineer (AI/ML) - Remote - Latin America
About Full Stack

Full Stack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way.

With now over 600 customers in North America, Full Stack is one integrated partner for all your AI engineering needs. With Full Stack, you move forward with confidence.

  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world’s greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on Glass Door.
  • Our client Net Promoter Score of 68, twice the industry average.
About Full Stack

Full Stack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way.

With now over 600 customers in North America, Full Stack is one integrated partner for all your AI engineering needs. With Full Stack, you move forward with confidence.

  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world’s greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on Glass Door.
  • Our client Net Promoter Score of 68, twice the industry average.
We’re Most Proud Of
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world’s greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on Glass Door.
  • Our client Net Promoter Score of 68, twice the industry average.
The Opportunity

Join our talent network and connect with U.S. clients for flexible, project-based development work as a Machine Learning Operations Engineer (AI/ML).

  • You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
What We're Looking For
  • 3+ years of professional software development experience with Machine Learning and MLOps practices.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Proven experience deploying Machine Learning and AI models to production environments via APIs or endpoints.
  • Practical experience implementing MLOps practices, including model tracking, versioning, monitoring, and lifecycle management.
  • Hands‑on experience with LLMs or Generative AI concepts and integrations.
  • Solid understanding of core infrastructure and systems concepts, including containerization, cloud platforms, and CI/CD workflows.
  • Proven experience with Python programming skills for ML development, automation, and production applications.
  • Familiarity with ML lifecycle tools like MLflow, or data platforms such as Databricks, Snowflake, Spark, or Big Query is a plus.
  • Experience with agentic workflows, Retrieval‑Augmented Generation (RAG), Lang Chain, or Lang Graph is a plus.
  • Ability to work through new and…
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