Production Ml Engineer: Pipelines & Observability

27 set - Firenze
Nexum AI

Nexum AI is seeking a Machine Learning Engineer to turn models and experiments into reliable, observable and maintainable production systems.
You will connect data, training, deployment and operations while preserving reproducibility and traceability.
What you will do: Design pipelines, package models as secure, tested services, establish versioning, automate validation and deployment across cloud and Kubernetes, and monitor performance and data drift.
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