Senior MLOps Engineer — Remote & Flexible Hours

BairesDev; Colombia; Remote; COP 381,934,000 - 572,902,000; Full time

Benefits offered by this job

Remote work

USD payments

Hardware and software setup

Flexible hours

Parental leave

Vacations and holidays

Mentorship and growth

Job summary

BairesDev is seeking a Senior MLOps Engineer for a fully remote role. You will design and maintain robust CI/CD pipelines, automate deployment and monitoring of ML models, and build scalable ML infrastructure.

You will collaborate with data scientists to productionize models, implement monitoring, and ensure security and governance across systems. The ideal candidate has 5+ years in MLOps/DevOps, strong software architecture knowledge, and hands-on experience with Docker, Kubernetes, cloud

Qualifications

• 5+ years of experience in MLOps, DevOps or ML infrastructure.
• Strong background in software architecture design.
• Strong understanding of system security.
• Experience with CI/CD pipelines, model monitoring and ML lifecycle management.
• Proficiency with cloud environments and containerization (Docker, Kubernetes).
• Experience with relational and non-relational databases.
• Ability to evaluate and select MLOps tools and technologies, understanding trade-offs.
• Advanced level of English.

Responsibilities

• Design and maintain CI/CD pipelines for ML models.
• Automate model deployment, monitoring, retraining and versioning.
• Build and optimize ML infrastructure for scalability and reliability.
• Collaborate with data scientists and ML engineers to productionize models.
• Establish monitoring systems and automate feedback loops for model performance.
• Implement best practices in automation, governance and reproducibility.
• Evaluate and integrate modern MLOps tools and frameworks.
• Ensure compliance, security and scalability of ML systems in production.

Skills

MLOps

DevOps

Cloud environments

English proficiency

Tools

Docker

Kubernetes

CI/CD tools

Job description

BairesDev is seeking a Senior MLOps Engineer for a fully remote role. You will design and maintain robust CI/CD pipelines, automate deployment and monitoring of ML models, and build scalable ML infrastructure.

You will collaborate with data scientists to productionize models, implement monitoring, and ensure security and governance across systems. The ideal candidate has 5+ years in MLOps/DevOps, strong software architecture knowledge, and hands-on experience with Docker, Kubernetes, cloud