Senior MLOps Engineer - Remote - Robusta

We're looking for a Senior MLOps Engineer to lead the design, deployment, and scaling of machine learning systems in production, working at the intersection of data science, software engineering, and infrastructure.

Requirements

• Design, build, and maintain scalable ML pipelines for training, testing, and deployment
• Deploy & maintain machine learning models and ensure their performance, reliability, and monitoring
• Collaborate with data scientists and engineers to streamline experimentation and deployment workflows
• Implement CI/CD practices for ML systems (ML CI/CD)
• Manage and optimize cloud-based infrastructure for ML workloads
• Develop monitoring, logging, and alerting systems for model performance and data drift
• Ensure reproducibility, versioning, and governance of ML models and datasets
• Advocate for best practices in MLOps, DevOps, and software engineering

Benefits

• Flexible work environment
• Opportunity to work with a renowned brand