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Senior Data Scientist with ML & Microsoft Fabric

W3GlobalSeattle, WA🇺🇸United StatesPosted 14 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Senior AI & ML Engineer - Microsoft Fabric & Agentic AI

Location: Seattle, Washington, Remote

Minimum Experience: 10

Skill Set: SQL, Microsoft Fabric, Machine Learning, Azure ML, Fabric Data Agents, PowerBI, Agentic AI, CoPilot Studio, Azure Foundary, Azure AI Foundry

Job Description

Build predictive and prescriptive ML models on Microsoft Fabric and the Agentic AI layer that turns their outputs and Power BI reports into actionable insights for store, district, and regional users - via conversational agents, automated notifications, and intelligent workflows. This is a hands-on, end-to-end role spanning feature engineering on OneLake, model development and MLOps in Fabric Data Science, and agent build-out with the Fabric Data Agent, Copilot Studio, and Azure AI services.

Required Skills

8+ years in ML / data science, with models shipped to production.

Applied depth in forecasting, recommendation, segmentation/cohort, and anomaly detection, with strong feature engineering.

Hands-on Microsoft Fabric: Data Science & Data Engineering, OneLake/Lakehouse, Delta, and Power BI semantic models (Direct Lake).

Agentic AI build experience: conversational agents, LLM orchestration, RAG, prompt engineering, and tool/function calling.

Microsoft Fabric Experience

Copilot Studio and Azure AI services / Azure AI Foundry (Agent Service).

Strong Python and SQL

Able to translate business problems into solutions while working directly with US-based stakeholders.

Preferred:

Retail/commerce analytics

Snowflake-to-OneLake mirroring and medallion layers

Fabric Data Agent / multi-agent patterns

Power BI/DAX

Fabric, Azure AI Engineer, or Azure Data Scientist certifications.

Education Qualification

Bachelor of Engg.

Skills

SQL
MLOps
Machine Learning
Snowflake
Azure
LLM
Power BI
Python

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