Azure Architect @ Quess It Staffing

Job Description

Job Description Design end-to-end machine learning solutions leveraging Azure ML services, considering factors such as scalability, performance, security, and cost efficiency. Strong understanding of the following: Cloud native architecture principles, Modern architecture techniques Strong understanding of machine learning principles, data preprocessing, and feature engineering. In-depth experience architecting complex Azure public/private Cloud platform solutions (PaaS, SaaS, IaaS); Architect cloud-based infrastructure and resources required for training deploying, and managing machine learning models using Azure resources like Azure Databricks, Azure Kubernetes Service (AKS), Azure VMs, etc. Integrate diverse data sources and preprocess data for training and inference, using Azure Data Factory, Azure Data Lake, or other relevant Azure services. Deploy models to production environments using Azure ML deployment technologies like Azure ML Service, Azure Functions, or. AKS, and establish monitoring mechanisms for model performance, drift, and health. Implement security measures, access controls, and data protection protocols in according to organizational policies and regulatory requirements. Continuously optimize machine learning pipelines and models for performance, cost, and resource utilization using techniques like distributed computing and model quantization. Excellent problem-solving and communication skills

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Others
Functional Area: Not Applicable
Role/Responsibilies: Azure Architect

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Keyskills:   Distributed computing Azure ML services Cloud native architecture principles Modern architecture techniques Machine learning principles Data preprocessing Feature engineering Azure publicprivate Cloud platform solutions Azure Databricks Azure Kubernetes Service AKS Azure VMs Azure Data Factory Azure Data Lake Azure ML deployment technologies Azure Functions Model quantization