Python + MLOps Engineer - Remote Work

BairesDev; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

BairesDev is seeking a Python + MLOps Engineer to operationalize ML/vision models into production, maintain CI/CD, and manage cloud environments. You will work in two-week Agile sprints with modern AI tooling, bridging experimental ML with production-grade systems.

Ideal candidates have 8+ years in software engineering, strong Python, and hands-on MLOps experience in cloud environments (GCP/AWS). 100% remote with competitive USD compensation.

Qualifications

• 8+ years of software engineering experience.
• Strong proficiency in Python.
• Hands-on MLOps and production model deployment.

Responsibilities

• Operationalize ML and computer vision models into stable production environments.
• Manage and maintain mature CI/CD pipelines.
• Configure and support dev, staging, 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 proficiency

Software engineering

Tools

GCP

AWS

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 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.