MLOps Engineer - Remote Work

Role Overview

BairesDev is seeking an experienced MLOps Engineer to design, build, and maintain the infrastructure and processes that support machine learning model lifecycle management. The role focuses on production ML reliability through CI/CD, monitoring, automation, versioning, and scalable infrastructure.

What You’ll Do

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

What We’re Looking For

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

Nice to Have / Benefits

• 100% remote work (from anywhere)
• Flexible hours and equipment setup for home office
• Mentorship, promotions, skill development, and growth opportunities