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Position: Azure MLOps Architect

Location: San Francisco, CA 94107 (5 Days Onsite for first 4 weeks then
Hybrid)

Type: Contract



Job Description:


Vaccinated Candidates Only ---- Need a screenshot during a video call
showing the candidate?s face and ID proof.



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




Primary:- 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

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.




Reference : Azure MLOps Architect jobs

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Published at 13-01-2025
Viewed: 51 times