GCP Data & ML Pipelines Architect
Summary
Designs and runs scalable data pipelines on GCP using Dataflow, Apache Beam, and Kubeflow Pipelines, and implements MLOps for ML lifecycle management.
CareCone Group seeks a senior data engineering/ML engineer to design and run scalable data pipelines on Google Cloud Platform. You will build frameworks with Dataflow, Apache Beam, Kubeflow Pipelines, and implement DevOps/MLOps across the ML lifecycle.
The role includes automating deployments, managing model lifecycles in GCP Model Registry, and delivering dashboards with Django and R Shiny while optimizing performance and efficiency.