Data and 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 covering data lakes, data warehouses, real-time streaming, and analytics
- 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
- Ensure data quality, security, regulatory 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
- Proven experience 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
- Strong understanding of machine learning workflows, feature engineering, model deployment, and responsible AI principles
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