CloudFronts Technologies

3 days ago

Mumbai Metropolitan Region, India CloudFronts - AI First Microsoft Solutions Partner Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Location : 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 the job :

Role : AI & Data Architect

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.

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