ML Reliability Engineer

About This Role

We're seeking an ML Reliability Engineer to build and maintain the infrastructure that powers our AI-first recruiting platform. You'll own the reliability, monitoring, and deployment pipelines for machine learning models in production, ensuring our B2B SaaS platform delivers consistent, high-quality predictions at scale. This is a critical role for a growth-stage startup where your work directly impacts recruiter productivity and hiring outcomes across Europe.

Requirements

• Design and implement monitoring systems for ML model performance, data drift, and production anomalies
• Build and maintain CI/CD pipelines for model training, validation, and deployment workflows
• Develop infrastructure-as-code solutions for reproducible ML environments using Docker and Kubernetes
• Collaborate with data scientists and backend engineers to operationalize machine learning models
• Troubleshoot production ML system failures and implement preventive reliability measures
• Write clean, well-tested Python code for ML infrastructure and automation tools

Skills