Global Channel Management, Inc. is seeking an Azure MLOps Architect with extensive experience in Azure Machine Learning and MLOps processes. The role involves developing and deploying machine learning capabilities within the organization.
Azure MLOps Architect job at Global Channel Management, Inc.. San Francisco, CA. Azure MLOps Architect needs 8+ years extensive experience with Azure Machine Learning (ML) and MLOps processes, including creating and optimizing ML workflows, building serving platforms, and deploying models. Azure MLOps Architect requires: -Azure MLOps Expertise: Extensive experience with Azure Machine Learning (ML) and MLOps processes, including creating and optimizing ML workflows, building serving platforms, and deploying models. -ML Deployment Pipelines: Expertise in building and maintaining ML deployment pipelines in Azure, ensuring seamless model delivery to production. -Model Experimentation: Strong background in ML model experimentation to optimize and evaluate models effectively. -High-Performance Model Serving: In-depth experience in serving high-performance models at scale with low latency. -MLOps Engineering & Architecture: Solid experience in MLOps engineering and designing architecture for scalable ML solutions. Nice-to-Have Skills: -Databricks: Experience with Databricks for data engineering and machine learning workflows. -GCP Experience: Experience working with Google Cloud Platform (GCP) in MLOps or data engineering capacities. -Cosmos DB (DogDB/Stardog): Knowledge of Cosmos DB, particularly with DogDB/Stardog schema, vector search, and embeddings. -Serverless Compute & Kubernetes (AKS): Familiarity with serverless compute, Kubernetes (AKS), and containerized environments. -Infrastructure Tools: Experience with Terraform for infrastructure as code, particularly for app development and infrastructure deployment. -Event Hubs & API Gateways: Proficiency in designing and optimizing low-latency services, API gateways, and event hubs. -Performance Tuning: Strong focus on performance tuning and load management for high-performance Azure MLOps Architect duties: -Support the development and deployment of the Azure MLOps platform to enhance PayPal's machine learning capabilities and infrastructure. Employment Type: Full-Time Salary: $ 75.00 Per Hour
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