Remote Python MLOps Engineer for Production ML & CI/CD

BairesDev; Comisión de Fomento de Perú; Remote; ARS 181,904,000 - 272,855,000; Full time

Benefits offered by this job

100% remote

USD or local currency pay

Home office setup

Flexible hours

Parental leave

Career growth

Job summary

Join BairesDev as a Python + MLOps Engineer to operationalize ML/vision models into stable production systems. You will manage CI/CD pipelines and support cloud environments, ensuring reliable deployment in production. Work within two-week Agile sprints and leverage AI tooling to accelerate delivery.

The ideal candidate has 8+ years in software engineering, strong Python, and hands-on MLOps experience, with production deployment and cloud familiarity in GCP or AWS. English fluency is required.

Qualifications

• 8+ years of experience in software engineering.
• 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

GCP

AWS

English

Tools

GCP

AWS

Job description

Join BairesDev as a Python + MLOps Engineer to operationalize ML/vision models into stable production systems. You will manage CI/CD pipelines and support cloud environments, ensuring reliable deployment in production. Work within two-week Agile sprints and leverage AI tooling to accelerate delivery.

The ideal candidate has 8+ years in software engineering, strong Python, and hands-on MLOps experience, with production deployment and cloud familiarity in GCP or AWS. English fluency is required.