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The ideal candidate will have strong expertise in GCP services, Vertex AI, Generative AI, cloud-native architecture, and MLOps, with the ability to build scalable, secure, and cost-efficient AI platforms.\n\nKey Responsibilities : \n\n- Design and architect enterprise-scale cloud and AI solutions on Google Cloud Platform.\n\n- Leverage GCP services, including Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and Dataflow.\n\n- Architect and implement AI/ML solutions using Vertex AI, Gemini, Generative AI, and Retrieval-Augmented Generation (RAG).\n\n- Design and implement scalable AI platforms, microservices, and cloud-native applications.\n\n- Establish MLOps practices for model deployment, monitoring, automation, and lifecycle management.\n\n- Lead cloud migration, modernization, and enterprise AI transformation initiatives.\n\n- Implement infrastructure automation using Terraform and establish CI/CD and DevSecOps pipelines.\n\n- Define 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