Artificial Intelligence / Data Architect - Azure Platform

Role : AI & Data Architect - : Mumbai

Job Type : Full Time (5days WFO)

Working Hours : 8.30 am to 5.00 pm (Monday to Friday)

Experience Range : 5+ years of experience (Relevant)

Job Summary :

AI & Data Architect will lead all aspects of AI, Business Intelligence, and Data Architecture with expertise in Azure services, including AI / ML solutions, data engineering, and analytics. The role involves designing, configuring, and managing BI services, aggregating data from multiple sources into a data warehouse, implementing AI-driven insights, and deploying AI models while adhering to best practices.

Skills, Experience & Key Responsibilities :

• 5+ years of experience in AI, Data Engineering, and Analytics with Azure cloud technologies.
• 5+ years of integration experience with the Azure Platform (Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks, Azure Machine Learning, Azure Cognitive Services, Logic Apps, API Management).
• Hands-on experience with AI / ML models, NLP, Computer Vision, and Predictive Analytics using Azure AI services.
• Architect and manage AI-driven BI solutions (portals, dashboards, standard, and ad-hoc reporting) with a focus on data management and AI-driven insights.
• Experience in developing and deploying AI models into production environments.
• Deep analytical experience and understanding of data modeling and big data solutions.
• Strong knowledge of requirements gathering, documentation processes, and stakeholder management.
• Proficiency in programming languages such as Python, R, or SQL for AI / ML model development.
• Designing & developing dimensions, hierarchies & cubes with Azure Synapse & Databricks.
• Provide technical direction and mentoring to a team of AI, BI, and Data Engineers working with enterprise data tools (SSRS, SSIS, SQL Server, Power BI, Azure ML, Databricks).
• Ensures best practices in AI model development, testing, and deployment while overseeing, planning, and estimating project needs.
• Provide technical leadership on client AI & Data projects and during the sales cycle

(ref : hirist.tech)