Live opening · Posted 2 days ago
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About the role
Description supplied by the original job listing.
Seeking an experienced ML Engineer with strong expertise in Microsoft Fabric and Azure data services to build ML solutions and data pipelines.
Responsibilities:
Develop ML models in Microsoft Fabric (Notebooks, Experiments, and Models).
Implement MLflow for experiment tracking and model registry.
Use SynapseML for distributed ML on Spark.
Deploy models using Azure Machine Learning (Pipelines, Endpoints, AutoML).
Implement in-database scoring using the PREDICT function in Fabric Warehouse.
Build ETL pipelines using Azure Data Factory, Databricks, and Synapse.
Work with SQL, Python, PySpark, Scikit-learn, XGBoost, LightGBM, PyTorch, and TensorFlow.
Requirements:
Experience: Min 3+ Years.
Strong hands-on experience in Microsoft Fabric.
Experience in Azure data and ML services.
Understanding of data governance.
DP-700 / DP-600 certification preferred.
Experience
3-7 yrs
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