Description

Lead Generative AI initiatives by designing and implementing end-to-end AI-powered applications on Azure.

This role is on-site.

Responsibilities

• Design and architect scalable, secure, and fault-tolerant cloud infrastructure on Azure.
• Build end-to-end AI pipelines including data acquisition, preprocessing, prompt engineering, and API deployment.
• Develop architectural design documents, solution blueprints, and technical specifications.
• Translate business requirements into technical solutions through collaboration with product managers and data scientists.
• Conduct data profiling, cataloging, and mapping for technical data flows.

Required Skills

• 5+ years of experience with large-scale data and analytics solutions.
• Expertise in Azure Data & Analytics PaaS: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics, and Azure SQL DB.
• Proficiency in Python, APIs, and machine learning frameworks.
• Hands-on experience with Azure ARM templates, PowerShell, and CI/CD via Azure DevOps.
• Experience preparing data for Data Science and Machine Learning workloads.
• Experience with relational and non-relational database technologies.
• Experience exposing data via Power BI and Azure API Apps.

Preferred Skills

• Experience with OpenAI technologies such as GPT-3, GPT-4, or reinforcement learning.
• Azure Solutions Architect certification.

Key Skills

Education

ANY GRADUATE