Vertex AI & GCP Architect

About the role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.

What you'll do

• This role bridges AI/ML engineering and cloud delivery, ensuring that models and pipelines reach production reliably, securely, and at scale
• Design and implement end-to-end MLOps pipelines on Vertex AI, including data ingestion, model training, evaluation, and deployment
• Build and manage Vertex AI Pipelines (Kubeflow Pipelines) for automated model training and retraining workflows
• Deploy and manage models using Vertex AI Model Registry, Endpoints, and Batch Prediction services
• Implement feature engineering workflows using Vertex AI Feature Store

What you need

• GCP
• Terraform
• Docker
• Python
• Machine learning
• IAM

Good to have

• BigQuery
• TensorFlow
• PyTorch
• Scikit-learn
• MLOps