Remote MLOps Engineer: AI in Production & Automation

FullStack; Concepcion; Remote; CLP 88,757,000 - 147,929,000; Full time

Benefits offered by this job

100% remote work

Competitive pay

Continuing education opportunities

Job summary

FullStack is seeking a Machine Learning Operations Engineer to join our remote talent network and collaborate with U.S. client teams on project-based AI/ML work.

You will integrate into client teams, deploy ML models to production via APIs, implement MLOps practices, and contribute to robust CI/CD pipelines while maintaining high-quality code in Python and cloud environments. Advanced English is required, a four-year degree, and hands-on experience with model tracking, monitoring, and lifecycle

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.
• 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.

Responsibilities

• Integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
• Deploy Machine Learning models to production environments via APIs or endpoints.
• Contribute to scalable MLOps practices, tracking, versioning, monitoring, and lifecycle management.
• Maintain clear, thorough documentation and participate in continuous improvement.

Skills

MLOps

Python

LLMs

CI/CD

Cloud platforms

English

Agile/Scrum

Production APIs

Education

Bachelor's degree

Tools

MLflow

Databricks

Snowflake

Spark

BigQuery

LangChain

Job description

FullStack is seeking a Machine Learning Operations Engineer to join our remote talent network and collaborate with U.S. client teams on project-based AI/ML work.

You will integrate into client teams, deploy ML models to production via APIs, implement MLOps practices, and contribute to robust CI/CD pipelines while maintaining high-quality code in Python and cloud environments. Advanced English is required, a four-year degree, and hands-on experience with model tracking, monitoring, and lifecycle