Remote Python & MLOps Engineer | Flexible Hours

BairesDev

Sucre

Remote

COP 382,226,000 - 509,635,000

Full time

28 hours ago
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Benefits offered by this job

100% remote work
Excellent compensation in USD or local
Hardware and software setup for home
Flexible hours
Paid parental leaves and holidays
Multicultural global team
Mentorship and growth opportunities

Job summary

BairesDev is seeking an experienced Python + MLOps Engineer to operationalize ML and computer vision models in production. You will own mature CI/CD pipelines, configure cloud environments, and ensure backend reliability. This role spans dev to production with agile sprints and modern AI tooling.

You'll join a globally distributed team that values expert engineering, scalable systems, and robust monitoring. Fluency in English is essential as you collaborate across remote teams and landscapes.

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
English

Tools

GCP
AWS

Job description

BairesDev is seeking an experienced Python + MLOps Engineer to operationalize ML and computer vision models in production. You will own mature CI/CD pipelines, configure cloud environments, and ensure backend reliability. This role spans dev to production with agile sprints and modern AI tooling.

You'll join a globally distributed team that values expert engineering, scalable systems, and robust monitoring. Fluency in English is essential as you collaborate across remote teams and landscapes.

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