Data AI Architect Undefined

Data AI Architect
NYC, NY
12+Months (100% Onsite) Description:
Recommended Qualifications and Experience:
Data Governance and Security using tools such as Purview to manage data governance and ensure data security
Azure Machine Learning (AML) building, training, deploying, and operationalizing machine learning models, including monitoring and maintaining models in production
Azure Form Recognizer extracting information from documents
Azure Language Understanding (LUIS) creating natural language understanding capabilities
Azure Cognitive Search implementing AI-powered search capabilities
Azure Personalizer providing personalized user experiences
Azure Metrics Advisor monitoring and diagnosing issues in time-series data
Responsible AI ensuring AI models are built and used ethically, addressing fairness, transparency, accountability, and security
Prompt Engineering designing and refining prompts for AI models to improve response quality and relevance
OpenAI Experience working with OpenAI models and APIs to create advanced AI solutions
Application Development using Python, Flask, and App Service Environment for building and deploying applications
Infrastructure as Code using Bicep for Azure infrastructure deployment
DevOps implementing CI/CD pipelines using Azure DevOps, Git
Understanding Network Requirements ensuring solutions meet the necessary network configurations and bandwidth requirements
Security Requirements implementing robust security measures to protect data and applications
Performance Optimization optimizing the performance of data pipelines and Spark applications to ensure efficiency and scalability
Delta Sharing implementing secure and scalable data sharing across organizations using Delta Sharing
Unity Catalog managing and securing data lakes with Unity Catalog for centralized governance and auditing
2+ years of SQL Server or advanced database or advanced analytics experience
3+ years of technical expertise in an enterprise environment
Deep technical or architectural knowledge of at least 2 of the following areas preferred:
Database administration (preferably with SQL, including Azure SQL) performance tuning, troubleshooting, high availability/disaster recovery, security
Database development (preferably with SQL, including Azure SQL) designing and building database solutions (tables, stored procedures, forms, queries, etc.)
Business intelligence combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports
Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation
Big Data implementation using Open Source and NoSQL technologies such as Databricks, Spark, Azure Data Lake Storage Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, (ADLS)