ML Engineer (Azure ML)

1. Strongexperience in Azure - mainly Azure ML Studio, AKS, Blob storage,ADF, ADO Pipelines 2. Abilityand experience to register and deploy ML/ AI/ GenAI models via Azure ML Studio. 3. Working knowledge of deploying models in AKS Clusters 4. Design and implement data processing, training, inference, monitoring pipelines using Azure ML 5. ExcellentPython skills - environment setup and dependency management, codingas per best practices - knowledge of automatic code review toolslike Linting and Black 6. Experiencewith MLflow for model experiments, logging artifacts and models,monitoring 7. Experience in orchestrating machine learning pipelines using MLOPs best practices 8. Experience in DevOps with CI/CD knowledge (Git in Azure Devops) 9.Experience in model monitoring (drift detection, and performance monitoring) 10. Fundamentals of Data engineering Docker based deployment is good to have