Remote Python + MLOps Engineer for Production ML

BairesDev

Distrito Capital

Remote

VES 105,171,000 - 157,756,000

Full time

12 days ago
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Benefits offered by this job

100% remote
USD compensation
Hardware provided
Flexible hours
Paid parental leave
Mentorship

Job summary

BairesDev is hiring a Python + MLOps Engineer to operationalize ML models into production at scale within a fully remote global team. You’ll manage CI/CD pipelines, production cloud environments, and contribute to reliable backend systems.

Ideal candidates have 8+ years of software engineering, strong Python skills, and hands-on MLOps experience. This role offers a remote, flexible work culture and opportunities to impact AI-driven projects across the globe.

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

Skills

Python
MLOps
CI/CD
English proficiency
Cloud environments
Model monitoring

Tools

Claude Enterprise
CodeRabbit AI
AWS
GCP

Job description

BairesDev is hiring a Python + MLOps Engineer to operationalize ML models into production at scale within a fully remote global team. You’ll manage CI/CD pipelines, production cloud environments, and contribute to reliable backend systems.

Ideal candidates have 8+ years of software engineering, strong Python skills, and hands-on MLOps experience. This role offers a remote, flexible work culture and opportunities to impact AI-driven projects across the globe.

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