CloudFronts Technologies - Artificial Intelligence/Data Architect - NLP/Python

<p><p>Location : Mumbai</p><p><br/></p><p>Job Type : Full Time (5days WFO)</p><p><br/></p><p>Working Hours : 8.30 am to 5.00 pm (Monday to Friday)</p><p><br/></p><p>Experience Range : 5+ years of experience the job :</b></p><br/>Role : AI & Data Architect<br/><br/><b>Job Summary :</b><br/><br/>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.<br/><br/><b>Skills, Experience & Key Responsibilities :</b><br/><br/>- 5+ years of experience in AI, Data Engineering, and Analytics with Azure cloud technologies.<br/><br/>- 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).<br/><br/>- Hands-on experience with AI/ML models, NLP, Computer Vision, and Predictive Analytics using Azure AI services.<br/><br/>- Architect and manage AI-driven BI solutions (portals, dashboards, standard, and ad-hoc reporting) with a focus on data management and AI-driven insights.<br/><br/>- Experience in developing and deploying AI models into production environments.<br/><br/>- Deep analytical experience and understanding of data modeling and big data solutions.<br/><br/>- Strong knowledge of requirements gathering, documentation processes, and stakeholder management.<br/><br/>- Proficiency in programming languages such as Python, R, or SQL for AI/ML model development.<br/><br/>- Designing & developing dimensions, hierarchies & cubes with Azure Synapse & Databricks.<br/><br/>- 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).<br/><br/>- Ensures best practices in AI model development, testing, and deployment while overseeing, planning, and estimating project needs.<br/><br/>- Provide technical leadership on client AI & Data projects and during the sales cycle.<br/></p><br/></p> (ref:hirist.tech)