Job Title: Azure MLOps Architect

Location: San Francisco, CA 94107 (Hybrid)

Duration: 12+ months

Pay Rate: $80 to $90/hr on W2

Job Description:

The client is building a new Azure MLOps platform to host their recommendation models. Looking for a seasoned Azure MLOps architect to support.

Requirements:

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

Nice to have:

Experience with Databricks

Experience with GCP

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.