You will lead Generative AI initiatives by designing and implementing technical solutions based on business requirements.
Responsibilities
Architect and implement solutions using Azure services and capabilities.
Transform business use cases into scalable technical designs.
Conduct data profiling, cataloguing, and mapping to construct technical data flows.
Prepare data 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 technical roles.
Deep expertise in 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 using Azure DevOps.
Hands-on experience with relational and non-relational database technologies.
Proven track record with Azure data, Machine Learning, and Artificial Intelligence solutions.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Preferred Skills
Experience with OpenAI technologies including GPT-3, GPT-4, or reinforcement learning.
Azure Solutions Architect certification.
Knowledge of data privacy and security regulations related to Azure and AI.