Lead Generative AI initiatives by designing and implementing scalable data and machine learning solutions on Azure.
Responsibilities
Convert business use cases into functional technical solutions.
Architect and implement solutions using Azure Data, Machine Learning, and AI services.
Conduct data profiling, cataloguing, and mapping to construct technical data flows.
Prepare data specifically for Data Science and Machine Learning applications.
Expose data to end-users via Power BI and Azure API Apps.
Required Skills
15-18 years of experience in technology roles.
Deep expertise with Azure Data & Analytics PaaS: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics, and Azure SQL DB.
Proficiency in Python, APIs, and machine learning frameworks.
Experience with Azure ARM templates, PowerShell, and CI/CD via Azure DevOps.
Hands-on experience with both relational and non-relational database technologies.
Proven track record with large-scale data and analytics solutions.
Ability to use Power BI and Azure API Apps for data delivery.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.