Job Description
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 M...
**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 M...
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