Python + MLOps Engineer - Remote Work | REF#306503

BairesDev; United States; Remote; CLP 118.577.000 - 177.866.000; Vollzeit

Benefits dieser Stelle

100% remote work

Competitive USD compensation or local

Home office setup provided

Flexible hours

Parental leave and holidays

Multicultural global team environment

Mentorship and growth opportunities

Zusammenfassung

BairesDev is seeking an experienced Python + MLOps Engineer to operationalize ML and computer vision models into robust production systems. You will manage CI/CD pipelines, cloud environments, and ensure code reliability within agile sprints, bridging experimentation and production-grade delivery.

Ideal candidates have 8+ years in software engineering, strong Python skills, and hands-on MLOps experience in GCP or AWS, with excellent English proficiency and a track record in production monitoring.

Qualifikationen

• 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.

Aufgaben

• Operationalize ML and computer vision models into stable production environments.
• Manage and maintain mature CI/CD pipelines.
• Configure and support development, staging, and production cloud environments.
• Review pull requests and ensure backend code reliability.
• Utilize AI development tools within Agile sprints to accelerate delivery.

Kenntnisse

Python

MLOps

CI/CD pipelines

Cloud environments

Model monitoring

English proficiency

Remote work experience

Jobbeschreibung

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!