Remote Python + MLOps Engineer — Production ML at Scale

BairesDev

Bogotá ciudad

Remote

COP 383,767,000 - 511,689,000

Full time

12 days ago
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Benefits offered by this job

Remote work
Competitive USD salary
Hardware provided
Flexible hours
Parental leave

Job summary

BairesDev is hiring a Python + MLOps Engineer to operationalize ML and computer vision models into production, scalable environments, and robust CI/CD pipelines. You will work in two-week Agile sprints, leveraging cloud platforms (GCP/AWS) and modern AI tooling to bridge research and production, influencing value delivery for clients worldwide.

Join a 4,000+ team delivering cutting-edge solutions remotely from anywhere, with excellent compensation in USD or local currency and a strong culture of

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
Cloud experience
English proficiency

Tools

GCP
AWS

Job description

BairesDev is hiring a Python + MLOps Engineer to operationalize ML and computer vision models into production, scalable environments, and robust CI/CD pipelines. You will work in two-week Agile sprints, leveraging cloud platforms (GCP/AWS) and modern AI tooling to bridge research and production, influencing value delivery for clients worldwide.

Join a 4,000+ team delivering cutting-edge solutions remotely from anywhere, with excellent compensation in USD or local currency and a strong culture of

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