ML Reliability Engineer
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
About This Role
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
Required Skills
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