Azure ML Engineer at Deqode | Torre

Azure ML Engineer

You will build and deploy cutting-edge ML/AI/GenAI solutions, optimizing business processes for clients.
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Full-time

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Remote (anywhere)
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Shared by
Paulina Romero Moreno
about 2 months ago

Requirements and responsibilities


Build and deploy ML/AI/GenAI models using Azure ML Studio; design end-to-end pipelines for data processing, training, inference & monitoring; deploy models on AKS clusters with scalable architecture; implement MLOps best practices for production-ready systems; work with MLflow for experiment tracking & model lifecycle management; collaborate with DevOps teams to build CI/CD pipelines using Azure DevOps; ensure model performance through monitoring, drift detection & optimization.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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