Senior AI/ML Engineer - Public Trust
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Die Stelle
Own the end-to-end ML lifecycle, from data ingestion and model development to deployment, monitoring, and governance for real-time decision support.
Design, train, and optimize models for predictive analytics, classification, anomaly detection, and NLP applications.
Build and maintain end-to-end MLOps pipelines, covering training, validation, versioning, deployment, rollback, and drift detection.
Deploy production models in Azure using Azure ML, containerization (Docker), and CI/CD pipelines.
Ensure responsible AI practices with transparency, explainability, auditability, and comprehensive documentation.
Collaborate across data scientists, engineers, analysts, and governance teams; mentor junior engineers and contribute to engineering standards.
Design, train, and optimize models for predictive analytics, classification, anomaly detection, and NLP applications.
Build and maintain end-to-end MLOps pipelines, covering training, validation, versioning, deployment, rollback, and drift detection.
Deploy production models in Azure using Azure ML, containerization (Docker), and CI/CD pipelines.
Ensure responsible AI practices with transparency, explainability, auditability, and comprehensive documentation.
Collaborate across data scientists, engineers, analysts, and governance teams; mentor junior engineers and contribute to engineering standards.
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