Python + Mlops Engineer - Remote Work | Ref#305050

BairesDev; São Paulo; Teletrabalho; BRL 611 000 - 916 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% remote work

Competitive USD compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves and holidays

Global collaboration with Top 1%

Mentorship and growth opportunities

Resumo da oferta

BairesDev is seeking a Python + MLOps Engineer to operationalize ML and CV models into production, manage mature CI/CD pipelines, and configure cloud environments. You will work in two-week Agile sprints with modern AI tooling to move experiments into scalable services.

Ideal candidates have 8+ years in software engineering, strong Python, production MLOps experience, cloud familiarity (GCP/AWS), and excellent English. The role is 100% remote with flexible hours and competitive USD compensation.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

MLOps

CI/CD

GCP

AWS

Model monitoring

Descrição da oferta de emprego

At Baires Dev®, 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 Baires Dev

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 Code Rabbit 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!