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

FullStack; Tacna; A distancia; PEN 311.000 - 414.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay

100% remote work

Work with leading startups and Fortune

Descripción de la vacante

FullStack is seeking a Machine Learning Operations Engineer (AI/ML) for remote, project-based work connecting with U.S. clients. You will join client teams and collaborate with designers and engineers daily to deploy ML systems and maintain production-ready AI capabilities.

We value 3+ years of ML/MLOps experience, strong Python skills, advanced English, and a four-year degree. Prior MLflow/Databricks/Snowflake experience is a plus.

Formación

• 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.

Responsabilidades

• You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Conocimientos

ML & MLOps experience

Advanced English

Python for ML

CI/CD

Containerization

Cloud platforms

Agile/Scrum

LLMs / Generative AI

Educación

Four-year college degree

Herramientas

MLflow

Databricks

Snowflake

Spark

BigQuery

Descripción del empleo

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.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.

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