AI Azure ML Engineer

Role

Architects and deploys AI solutions using Microsoft Azure services.
Implements MLOps, CI/CD pipelines and operational monitoring.
Designs end-to-end AI/ML architectures, including data ingestion, feature engineering, model training, deployment and monitoring. Evaluates and selects appropriate ML frameworks, tools and platforms.
Preprocesses and analyzes data, creates vector indexes and high-quality input for the AI retrieval system.
Maintains compliance with security, cost and performance standards.

Expereince in

Azure Cognitive Services
Azure AI Search
ML lifecycle: data prep feature engineering model training optimization deploymentMLOps Fundamentals
CI/CD for ML
Azure Machine Learning (Azure ML)

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