Build and operate enterprise MLOps and LLMOps platforms on Google Cloud Platform. Support AI products across audience intelligence, content recommendation, advertising optimization, content intelligence and personalization use cases within digital media environments.
• Design and implement CI/CD/CT pipelines using Vertex AI Pipelines and Kubeflow. • Manage model lifecycle from experimentation to production deployment. • Build automated model training, evaluation, deployment and monitoring workflows. • Implement model observability, drift detection and performance monitoring. • Support GenAI, Agentic AI and recommendation engine deployments. • Integrate real-time and batch data pipelines using Pub/Sub, BigQuery and Dataflow. • Collaborate with Data Scientists, Data Engineers and Platform Engineers. • Optimize performance, scalability and infrastructure costs.
• Bachelor degree in Engineering, Computer Science or equivalent • 3-5 years experience in MLOps or ML Platform Engineering • Strong Python development skills • Experience with GCP and Vertex AI preferred • Digital Media Experience Preferred
Mandatory Skills
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