Description

You will design and architect end-to-end AI and data solutions on Azure, integrating OpenAI technologies to solve complex business problems.

This role is hybrid.

Responsibilities

• Design and implement scalable, fault-tolerant, and secure cloud infrastructure on Azure for AI-powered applications.
• Architect end-to-end data pipelines covering acquisition, preprocessing, model training, deployment, and monitoring.
• Translate business requirements into technical solutions, creating architectural design documents and solution blueprints.
• Evaluate and recommend Azure services and OpenAI technologies based on project objectives, scalability, and cost.
• Conduct data profiling, cataloguing, and mapping to define technical data flows for relational and non-relational databases.

Required Skills

• 5+ years of experience with large-scale data and analytics solutions.
• Deep knowledge of Azure Data & Analytics PaaS: Data Factory, Data Lake, Synapse Analytics, Databricks, IoT, and HDInsight.
• Experience with Azure ARM templates, PowerShell, and CI/CD pipelines using Azure DevOps.
• Proficiency in preparing data for Data Science and Machine Learning purposes.
• Ability to expose data to end-users via Power BI and Azure API Apps.
• Familiarity with Azure Machine Learning and Artificial Intelligence solutions.
• Bachelor's or Master's degree in Computer Science or Engineering.

Key Skills

Education

Bachelor's or Master's degree in Computer Science, Engineering