Remote Python & MLOps Engineer for Production ML

BairesDev; Región de Valparaíso; Remote; CLP 119,284,000 - 168,986,000; Full time

Benefits offered by this job

100% remote

Competitive salary

Home office setup

Flexible hours

Parental leave

Paid vacations

Mentorship

Career growth

Job summary

BairesDev is seeking a Python + MLOps Engineer to operationalize machine learning and computer vision models at scale. You will maintain CI/CD pipelines and manage cloud environments, collaborating in two-week Agile sprints with modern AI tools to deliver production-grade systems.

Join a global, 100% remote team and help ensure models deliver real value, while benefiting from competitive USD compensation and a flexible, mentorship-rich growth environment.

Qualifications

• 8+ years of software engineering experience.
• Strong proficiency in Python.
• Hands-on experience with MLOps and production model deployment.
• Experience with production CI/CD pipelines.
• Background working in GCP or AWS cloud environments.
• Experience with production model monitoring and performance tracking.
• Advanced proficiency in English.

Responsibilities

• Operationalize machine learning and computer vision models into stable production environments.
• Manage and maintain mature CI/CD pipelines.
• Configure and support dev, stage, and production cloud environments.
• Review pull requests and enforce backend code reliability standards.
• Leverage AI developer tools within Agile sprint cycles to accelerate delivery.

Skills

Python

MLOps

CI/CD pipelines

Cloud (GCP/AWS)

English

Production deployment

Job description

BairesDev is seeking a Python + MLOps Engineer to operationalize machine learning and computer vision models at scale. You will maintain CI/CD pipelines and manage cloud environments, collaborating in two-week Agile sprints with modern AI tools to deliver production-grade systems.

Join a global, 100% remote team and help ensure models deliver real value, while benefiting from competitive USD compensation and a flexible, mentorship-rich growth environment.