Python + MLOps Engineer - Remote Work | REF#308903

BairesDev; São Paulo; Remote; BRL 657,000 - 986,000; Full time

Benefits offered by this job

Remote work

Home office setup

Flexible hours

Parental leave

Diversity & mentorship

Job summary

BairesDev is seeking a Python + MLOps Engineer to operationalize ML and computer vision models into production at scale. You will manage CI/CD pipelines, and configure cloud environments to support dev, stage, and production workflows.

You'll work in two-week Agile sprints with modern AI tooling, bridging experimental ML work and robust, production-grade systems. Excellent English required and remote work available globally.

Qualifications

• 8+ years of software engineering experience.
• Strong Python proficiency.
• Hands-on MLOps and production model deployment.
• Experience with production CI/CD pipelines.
• Background working with GCP or AWS cloud environments.
• Experience with production model monitoring and performance tracking.
• Advanced English proficiency.

Responsibilities

• Operationalize ML 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

8+ years experience

Cloud proficiency (GCP/AWS)

Production monitoring

Tools

AWS

GCP

Claude Enterprise

CodeRabbit AI

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!