Über
Architect and implement the foundational ML Ops platform from scratch Define and deploy reusable patterns for model training, deployment, monitoring, and retraining Build CI/CD pipelines for ML lifecycle automation and establish model registry and governance standards
Required Qualifications
Experience architecting and deploying ML systems in production environments Deep familiarity with ML lifecycle automation and strong AWS experience Proven experience building infrastructure-as-code solutions using Terraform Strong Python proficiency and solid SQL skills Experience integrating ML workloads with data platforms and event-driven systems
Sprachkenntnisse
- English
Hinweis für Nutzer
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