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

FullStack; United States; Remote; CLP 88,409,000 - 127,701,000; Full time

Benefits offered by this job

100% remote work

Continuing education opportunities

Grow your career

Job summary

FullStack seeks a Machine Learning Operations Engineer for flexible, project-based work with US clients. You will join client teams and own ML deployment pipelines end-to-end.

Requirements include 3+ years in ML/MLOps, advanced English, a four-year degree, and Python expertise with CI/CD. Experience with LLMs, MLOps tooling, and cloud data platforms is a plus. 100% remote with international collaboration.

Qualifications

• 3+ years of professional software development experience with ML and MLOps.
• Advanced English is required.
• Four-year college degree required.
• Experience deploying ML models to production via APIs/endpoints.
• Proficient in Python for ML development and production apps.
• Hands-on with MLOps: tracking, versioning, monitoring, lifecycle management.

Responsibilities

• Integrate into client teams and align with designers and engineers daily.
• Deploy and monitor ML models in production through robust pipelines.
• Contribute to libraries and improve existing ML tooling as needed.

Skills

Machine Learning

MLOps

Python

APIs

CI/CD

Docker

Kubernetes

Advanced English

Education

Bachelor's degree

Tools

MLflow

Databricks

Snowflake

Spark

BigQuery

LangChain

Job description

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.

• 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.

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.

• 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.

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.
• 100% remote work.
• 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.

Learn more about our Applicants Privacy Notice.