Staff MLOps Engineer - Remote ML Infra Leader

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

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.