Junior ML Engineer
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Job Summary
Job Description:
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Support end-to-end machine learning model development including data preparation feature engineering model training validation and testing.
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Utilize Azure AI Foundry evaluation tools to benchmark compare and improve model performance.
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Deploy and manage ML models using Azure AI Foundry Model Catalog and related Azure services.
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Build and maintain scalable data processing pipelines using PySpark on Azure Databricks and Azure Data Factory (ADF).
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Collaborate with Data Engineers to ensure datasets feature stores and pipelines are optimized for machine learning workloads.
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Package and deploy ML solutions using Docker and integrate them into CI/CD pipelines.
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Track experiments manage model versions and maintain reproducibility using MLflow or similar MLOps tools.
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Develop unit tests and maintain technical documentation for ML workflows and pipelines.
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Participate in code reviews and contribute to engineering best practices.
