MLOps Engineer - Remote Work | REF#299134

BairesDev; Brasil; Remote; BRL 657,000 - 986,000; Full time

Benefits offered by this job

Remote work

Competitive salary in USD

Home office setup

Flexible hours

Parental leaves

Global team

Mentorship & growth

Job summary

BairesDev is seeking an experienced MLOps Engineer to design, build, and maintain the ML lifecycle infrastructure. You will own CI/CD for ML models, monitoring, automation, and scalable systems in a fully remote environment.

Join a global team delivering cutting-edge ML solutions with flexible hours, strong career development opportunities, and competitive compensation in USD or local currency. This role emphasizes collaboration with data scientists, ML engineers, and DevOps to drive

Qualifications

• 4+ years in MLOps, DevOps or ML infra.
• Strong software architecture background.
• Advanced English proficiency.
• Experience with CI/CD, model monitoring and ML lifecycle management.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models.
• Automate deployment, monitoring, retraining, and lifecycle management.
• Build ML infrastructure for scalable, reliable performance.
• Develop tools for model versioning, reproducibility, governance.
• Collaborate with data scientists, ML engineers, and DevOps to integrate ML into enterprise systems.
• Monitor model performance and automate feedback loops.
• Establish best practices and standards for MLOps.
• Stay updated with latest MLOps tools, frameworks, and industry practices.

Skills

MLOps

DevOps

ML infrastructure

Software architecture

Security

Performance optimization

Automation

CI/CD

Model monitoring

English

Tools

Kubernetes

Docker

Relational databases

Non-relational databases

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.

MLOps Engineer at BairesDev

We are seeking an experienced MLOps Engineer to design, build, and maintain the infrastructure and processes that support machine learning model lifecycle management. You will be responsible for CI/CD of ML models, model monitoring, automation, versioning, and ensuring scalable, reliable ML infrastructure. The ideal candidate combines strong DevOps expertise with machine learning knowledge to streamline and optimize ML pipelines in production environments.

What You'll Do

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Automate model deployment, monitoring, retraining, and lifecycle management.
• Build and manage ML infrastructure, ensuring scalability, performance, and reliability.
• Develop tools for model versioning, reproducibility, and governance.
• Collaborate with data scientists, ML engineers, and DevOps teams to integrate ML solutions into enterprise systems.
• Monitor model performance and automate feedback loops for continuous improvement.
• Establish best practices and standards for MLOps within the organization.
• Stay updated with the latest MLOps tools, frameworks, and industry practices.

What We Are Looking For

• 4+ years of experience in MLOps, DevOps, or ML infrastructure roles.
• Strong background in software architecture design.
• Strong understanding of system security.
• In-depth knowledge of performance optimization and automation.
• Experience with CI/CD pipelines, model monitoring, and ML lifecycle management.
• Skilled in cloud platforms and containerization (Kubernetes, Docker).
• Skilled in relational and non-relational databases.
• Ability to choose between different MLOps tools and frameworks, understanding the trade-offs.
• Advanced level of English.

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!