Staff MLOps Engineer - Remote Work | REF#308039

BairesDev; Colombia; Remote; COP 454,295,000 - 551,644,000; Full time

Benefits offered by this job

100% remote work

Excellent compensation in USD

Hardware and software setup

Flexible hours

Paid parental leaves and holidays

Multicultural environment

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Staff MLOps Engineer to lead large-scale ML infrastructure, CI/CD, deployment, monitoring, and lifecycle management. You will mentor engineers and drive adoption of MLOps tools.

This is a 100% remote role with flexible hours, excellent USD compensation, and a multicultural team of top 1% talent. You will collaborate with data science, ML, and DevOps to deliver scalable ML solutions.

Qualifications

• 7+ years of experience in MLOps, DevOps, or ML infrastructure engineering.
• Strong background in software architecture design.
• Strong understanding of system security.
• In-depth knowledge of performance optimization, automation, and distributed systems.
• Proven experience with CI/CD pipelines, model monitoring, and lifecycle automation at scale.

Responsibilities

• Lead the design and implementation of large-scale CI/CD pipelines for machine learning models.
• Architect and oversee ML infrastructure to support enterprise-level scalability and reliability.
• Drive automation strategies for model deployment, monitoring, retraining, and versioning.
• Mentor and guide engineering teams on MLOps best practices and technical excellence.
• Collaborate with data science, ML, and DevOps teams to ensure seamless model integration.
• Define standards for monitoring, governance, and reproducibility across ML workflows.
• Evaluate and integrate modern MLOps frameworks, tools, and platforms.
• Ensure security, compliance, and performance optimization in all MLOps solutions.

Skills

MLOps experience

DevOps architecture

CI/CD pipelines

Cloud environments

Kubernetes

Security focus

Team mentorship

Tools

Docker

Terraform

Monitoring tools

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.

Staff MLOps Engineer at BairesDev

We are looking for a Staff MLOps Engineer to lead the design and implementation of large-scale ML infrastructure and automation strategies. In this role, you will provide technical leadership across multiple projects, ensuring best practices in CI/CD pipelines, model deployment, monitoring, and lifecycle management. You will guide engineering teams, mentor peers, and drive the adoption of innovative MLOps tools and practices to improve the scalability, reliability, and efficiency of ML systems.

What You'll Do

• Lead the design and implementation of large-scale CI/CD pipelines for machine learning models.
• Architect and oversee ML infrastructure to support enterprise-level scalability and reliability.
• Drive automation strategies for model deployment, monitoring, retraining, and versioning.
• Mentor and guide engineering teams on MLOps best practices and technical excellence.
• Collaborate with data science, ML, and DevOps teams to ensure seamless model integration.
• Define standards for monitoring, governance, and reproducibility across ML workflows.
• Evaluate and integrate modern MLOps frameworks, tools, and platforms.
• Ensure security, compliance, and performance optimization in all MLOps solutions.

What We Are Looking For

• 7+ years of experience in MLOps, DevOps, or ML infrastructure engineering.
• Strong background in software architecture design.
• Strong understanding of system security.
• In-depth knowledge of performance optimization, automation, and distributed systems.
• Proven experience with CI/CD pipelines, model monitoring, and lifecycle automation at scale.
• Skilled in cloud environments and container orchestration (Docker, Kubernetes).
• Skilled in relational and non-relational databases.
• Ability to evaluate and select MLOps tools/technologies, understanding trade-offs at an enterprise level.

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!

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