What are the responsibilities and job description for the Azure MLOps Architect position at XpertTech?
Azure MLOps Architect San Jose, CA 14 months Location Update : Role is Day 1 Onsite. Job Description Client is building a new Azure MLOps platform to host their recommendation models. Looking for a seasoned Azure MLOps Architect to support. Azure ML Ops expertise i.e, How to build ML Work Flows, ML Serving Platform to host different kinds of models, build ML deployment pipelines in Azure, Expertise in ML Model Experimentation In addition to that, if resources have expertise in building ML models, that will be a good add-on skill. High-performance model serving MLOps engineering and architecture experience Experience with Databricks GCP experience A solid understanding of Cosmos DB (especially DogDB / Stardog schema), vector search, embeddings, serverless compute, Kubernetes (AKS) Experience with infrastructure tools like Terraform is essential, with app development and infrastructure as the primary focus and data engineering as a secondary skill. They should excel in designing and optimizing solutions involving low-latency services, API gateways, and event hubs, with a strong focus on performance tuning and load management. Skills Azure MLOps Architect ML Work Flows ML Serving Platform to host different kinds of models ML deployment pipelines in Azure ML Model Experimentation ML Model building Databricks GCP Cosmos DB Terraform Day 1 Onsite - Yes / No
