L’offerta in breve

Seedtag: MLops Engineer. Lavoro ibrido in Italia, a Paris. Tecnologie indicate: Python, Go, MongoDB, Redis, Kafka, GCP, Kubernetes, Terraform, MLflow.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

Seedtag is hiring an MLOps Engineer to scale and maintain the infrastructure behind Liz, its contextual AI platform. The role focuses on reliable, efficient, low-latency ML deployment across the open web and Connected TV, working with Data, Platform, and Backend teams.

You will build and improve dataset and training pipelines, deploy and monitor production models, and strengthen CI/CD, versioning, reproducibility, and infrastructure automation. The stack includes Python, Go, GCP, Vertex AI, Kubernetes, Terraform, MLflow, and monitoring tools. Seedtag seeks 2-4 years of experience building and maintaining production ML systems, along with the ability to own technical components end to end. Remote contracts are available in Italy, with hybrid options also offered.

Highlights

Production ML deployment and observability
Data pipelines, drift detection, and model quality monitoring
Python, GCP, Kubernetes, Vertex AI, and MLflow
Remote contracts available in Italy

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.