Job Description
Description
Role Overview :
We are seeking a skilled ML Engineer Google Cloud to design, build, and deploy scalable end-to-end machine learning solutions for enterprise clients.
In this role, you will work extensively with Vertex AI to develop, automate, and operationalize ML workflows, ensuring reliable model performance across real-time and batch use cases.
Key Responsibilities
Role Overview :
We are seeking a skilled ML Engineer Google Cloud to design, build, and deploy scalable end-to-end machine learning solutions for enterprise clients.
In this role, you will work extensively with Vertex AI to develop, automate, and operationalize ML workflows, ensuring reliable model performance across real-time and batch use cases.
Key Responsibilities
- Design and implement end-to-end machine learning pipelines on Google Cloud Platform (GCP).
- Develop, train, evaluate, and deploy ML models at scale using Vertex AI.
- Build and automate MLOps workflows using Vertex AI Pipelines (Kubeflow).
- Manage model lifecycle including versioning, monitoring, and governance via Vertex AI Model Registry.
- Implement centralized and reusable feature management using Vertex AI Feature Store.
- Enable real-time and batch inference using Vertex AI Predict...
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