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Artificial Intelligence/Data Architect
4 weeks ago
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
