Python + MLOps Engineer - Remote Work | REF#302324

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

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Python + MLOps Engineer at BairesDev
In this role, you'll take machine learning and computer vision models and operationalize them into stable production environments, ensuring they run reliably at scale. Managing mature CI/CD pipelines and cloud environments while enforcing backend code reliability, you'll work within two-week Agile sprints alongside modern AI developer tools. This is your opportunity to bridge the gap between experimental ML work and production-grade systems, where your MLOps expertise directly determines whether models deliver value in the real world.

What You'll Do

• 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.

What We Are Looking For

• 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.

Nice To Have

• Experience with agentic workflows and AI coding assistants such as Claude Enterprise.
• Familiarity with automated code review tools such as CodeRabbit AI.
• Experience with AWS cloud migration.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!
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