Remote Python & MLOps Engineer: Production ML & CI/CD

BairesDev; United States; Remote; CLP 117,763,000 - 176,644,000; Full time

Benefits offered by this job

Remote work

Competitive USD pay

Home office setup

Flexible hours

Parental leave and vacations

Global team mentorship

Growth opportunities

Job summary

BairesDev is seeking a Python + MLOps Engineer to operationalize machine learning and computer vision models into stable production environments. You will manage CI/CD pipelines and cloud environments, review code, and work within two-week Agile sprints using modern AI tools.

This role bridges experimentation and production-grade systems where MLOps expertise drives real-world value. Required are 8+ years in software engineering, strong Python, MLOps and cloud experience (GCP/AWS), production

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 (GCP/AWS)

Model monitoring

English

Job description

BairesDev is seeking a Python + MLOps Engineer to operationalize machine learning and computer vision models into stable production environments. You will manage CI/CD pipelines and cloud environments, review code, and work within two-week Agile sprints using modern AI tools.

This role bridges experimentation and production-grade systems where MLOps expertise drives real-world value. Required are 8+ years in software engineering, strong Python, MLOps and cloud experience (GCP/AWS), production