How you'll role

As a Senior Google Cloud AI/ML Data Engineer, you'll spearhead the design and development of AI/ML pipelines utilizing revolutionary tools such as Vertex AI. Your role will anchor around managing MLOps, leading the integration of various data systems, and collaborating cross-functionally to redefine campaign optimization. You'll be instrumental in creating dynamic ad campaign strategies powered by real-time business analytics.

What you'll do

• Design and develop AI/ML pipelines using Vertex AI for demand forecasting, performance prediction, audience targeting, and creative optimization

• Lead data ingestion and processing of product feeds, business metrics, and market data using Cloud Functions, Cloud Run, and Pub/Sub

• Build and maintain BigQuery datasets, perform schema design, and manage feature engineering pipelines

• Work closely with backend and frontend teams to expose ML endpoints via scalable APIs (Cloud Run + FastAPI/Node.js)

• Manage the full MLOps lifecycle including training, deployment, monitoring, and continuous improvement of models

• Contribute to Terraform infrastructure modules for Vertex AI, BigQuery, IAM, Cloud Run, and Networking

• Collaborate with digital marketing, product, and data teams to define campaign optimization rules and automation logic

• Support integration of campaign execution platforms (Google Ads API, DV360, Meta, TikTok) with AI-generated decisions

• Implement robust data governance, access control (IAM), secret management, and audit logging

• Participate in architectural reviews, technical documentation, and performance optimization