Role DetailsExperience: 3-5 yearsLocation: Bangalore, IndiaPlatform: Google Cloud Platform (GCP)Domain: AI/ML, Digital Media, AdTech, Audience Analytics100% Hands-on MLOps Engineering RoleRole SummaryBuild 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.Key Outcomes (First 6-12 Months)Establish production-grade MLOps pipelines on Vertex AI.Deploy scalable ML and GenAI models with solid observability.Improve model deployment frequency and reliability.Implement monitoring, governance and automated retraining processes.ResponsibilitiesDesign 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.GCP AI & MLOps StackVertex AIVertex AI PipelinesModel RegistryFeature StoreBigQuery MLDataflowPub/SubCloud StorageGKEArtifact RegistryLLMOps & GenAIGemini ModelsPrompt ManagementVector SearchRAG ArchitecturesAgentic AI WorkflowsEvaluation FrameworksGuardrails and GovernanceDigital Media Experience PreferredContent Recommendation EnginesAudience Intelligence PlatformsAdvertising Analytics and OptimizationCustomer Engagement AnalyticsSubscriber Retention AnalyticsPersonalization PlatformsObservability & MonitoringCloud MonitoringCloud LoggingPrometheusGrafanaModel Drift DetectionPerformance MonitoringAlerting and Incident ManagementSecurity & GovernanceIAMSecret ManagerCloud KMSModel GovernanceResponsible AIAudit LoggingCompliance ControlsQualificationsBachelor degree in Engineering, Computer Science or equivalent3-5 years experience in MLOps or ML Platform EngineeringStrong Python development skillsExperience with GCP and Vertex AI preferred