VySystems

Azure AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure AI Engineer with a contract length of "X months" and a pay rate of "$X/hour". Key skills include Python, SQL, and experience with Microsoft Power Platform. A degree in computer science or data science is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#Security #Data Reconciliation #Automation #Python #BI (Business Intelligence) #Computer Science #Azure #SQL (Structured Query Language) #AI (Artificial Intelligence) #Compliance #Forecasting #Microsoft Power BI #Data Science #MS Power Platform #Anomaly Detection #Data Warehouse
Role description
Technical Skills Bachelors or masters degree in computer science data science engineering or related field Proven experience in creating agentic AI workflows preferable with Copilot Studio or Microsoft Power Platform integration Demonstrable experience in creating agentic AI workflows preferable with MS Copilot Studio or MS Power Platform Deep expertise in operational workflows, including forecasting and reconciliation Proficiency in Python SQL and AIML frameworks eg Azure AI OpenAI Excellent analytical communication and problem solving skills Preferred Qualification Experience with Microsoft 365 Copilot Dynamics 365 Finance or Power BI Knowledge of prompt engineering and AI automation workflows Familiarity with RPA tools and enterprise data platforms Key Responsibilities Develop and deploy Generative AI models for anomaly detection forecasting and data reconciliation in Operational workflows Design and build Copilot extensions and custom integrations for users to enhance productivity and automation Collaborate with data and IT teams to identify opportunities for AI driven optimization Integrate AI solutions with enterprise systems such as ERP platforms reporting tools and data warehouses Ensure all solutions adhere to organizational security compliance and governance standard