Data/Machine Learning Architect
- Джерело:
- djinni.co
Що робити
- Define and design end-to-end data and machine learning architectures using Microsoft Azure.
- Lead the design and implementation of modern data platforms encompassing data lakes, data warehouses, real-time streaming, and analytics capabilities.
- Develop scalable ML pipelines covering data ingestion, model training, deployment, monitoring, and automated retraining.
- Establish MLOps practices, CI/CD standards, governance frameworks, and best practices across data and AI environments.
- Drive data quality, security, compliance, reliability, and operational excellence across the platform.
Що очікуємо
- 10+ years of professional experience across Data Engineering, Data Architecture, Analytics, Artificial Intelligence, or Machine Learning.
- Demonstrated track record of designing and delivering enterprise
- scale data and machine learning platforms within the Microsoft Azure ecosystem.
- Advanced knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Machine Learning, AKS, and Azure DevOps.
- Practical experience implementing MLOps practices, including ML lifecycle management, model governance, monitoring, and CI/CD automation.
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