Machine Learning Operations Engineer (AI/ML) - Remote - Latin America

FullStack Labs, Inc.; Curitiba; Hybrid; BRL 611,000 - 865,000; Full time

Job summary

FullStack Labs, Inc. is seeking a Machine Learning Operations Engineer to join client projects remotely across Latin America. You will integrate into client teams, deploy ML models to production via APIs and manage full MLOps lifecycles.

The ideal candidate has 3+ years in ML/MLOps, strong Python, containerization, CI/CD, and advanced English. A four-year degree is required, with hands-on experience in LLMs, model tracking, and cloud platforms.

Qualifications

• 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.
• Hands-on experience with 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 BigQuery is a plus.
• Experience with agentic workflows, Retrieval-Augmented Generation (RAG), LangChain, or LangGraph is a plus.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can‑do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• Ability to identify with the goals of FullStack’s clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Skills

ML/MLOps

English proficiency

Production ML deployment

LLMs / Gen AI

Infra concepts

Python for ML

Agile/Scrum

Ownership mindset

Education

Four-year college degree

Tools

MLflow

Databricks

Snowflake

Spark

BigQuery

LangChain

LangGraph

CI/CD

Docker/Kubernetes

Job description

Machine Learning Operations Engineer (AI/ML) - Remote - Latin America

Curitiba

Latam

About FullStack

FullStack 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, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

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 GlassDoor.
• 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 BigQuery is a plus.
• Experience with agentic workflows, Retrieval-Augmented Generation (RAG), LangChain, or LangGraph is a plus.
• Ability to work through new and difficult issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of applications.
• Forensic attention to detail.
• A positive mindset and a can‑do attitude.
• Experience working on Agile/Scrum teams.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
• Ability to identify with the goals of FullStack’s clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Nice To Have

We’re seeking engineers who are AI‑enthusiastic in their workflow. Professional experience or personal project work with the following is a significant plus:

• Cursor, Windsurf, or Google Antigravity.
• Claude Code, Gemini CLI, Codex, or Copilot CLI.

Work Authorization Requirements

Applicants must be currently authorized to work in the country of this job posting on a full-time basis.

FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

• Competitive pay.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.