Senior MLOps Engineer - Remote, Flexible Hours, Growth

BairesDev; Sur; Remote; COP 389,395,000 - 584,093,000; Full time

Benefits offered by this job

100% remote work

USD compensation or local currency

Hardware provided

Flexible hours

Parental leave and vacations

Job summary

BairesDev hires Senior MLOps Engineer to design and maintain ML CI/CD pipelines, automate deployments, and scale ML infrastructure. You will collaborate with data scientists to productionize models, monitor performance, and ensure security and governance across ML systems.

This is a 100% remote role offering USD compensation, flexible hours, and an environment that values mentorship and cross-cultural collaboration within our global Top 1% tech talent network.

Qualifications

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

Responsibilities

• Design and maintain advanced CI/CD pipelines for machine learning models.
• Automate model deployment, monitoring, retraining, and versioning.
• Build and optimize ML infrastructure to ensure scalability, reliability, and high performance.
• Collaborate with data scientists and ML engineers to productionize models and streamline workflows.
• 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

CI/CD pipelines

Model monitoring

ML lifecycle

Cloud environments

Docker/Kubernetes

Performance optimization

Automation

Software architecture

System security

English proficiency

Tools

Docker

Kubernetes

Relational databases

Non-relational databases

Job description

BairesDev hires Senior MLOps Engineer to design and maintain ML CI/CD pipelines, automate deployments, and scale ML infrastructure. You will collaborate with data scientists to productionize models, monitor performance, and ensure security and governance across ML systems.

This is a 100% remote role offering USD compensation, flexible hours, and an environment that values mentorship and cross-cultural collaboration within our global Top 1% tech talent network.