MLOps Architect

We are looking for a Senior MLOps Architect to lead high\-stakes AI and Data projects for our enterprise customers. In this role, you will act as the technical authority, helping clients bridge the gap between experimental data science and production\-grade operations primarily on Google Cloud Platform. You will lead projects that involve building end\-to\-end MLOps pipelines from scratch, migrating workloads to Vertex AI, and standardizing model deployment. You will usually act as the "trusted advisor" owning the architecture and the delivery. **Key Responsibilities** * Customer Leadership: Lead technical kickoffs, discovery workshops, and architecture reviews directly with client CTOs, VP R\&D, and Data Science leads. * Architecture \& Design: Design robust, scalable MLOps architectures using Google Cloud Platform services (Vertex AI, GKE, BigQuery, Cloud Build, Cloud Storage). * Implementation \& Automation: Build "Golden Paths" for model deployment. Implement CI/CD pipelines for ML, automated retraining workflows, and model monitoring systems to allow Data Scientists to deploy self\-sufficiently. * Production Engineering: Operationalize ML models in high\-scale environments. Tr...