Data Science Innovator

1 week ago


Aligarh, Uttar Pradesh, India beBeeAzure Full time ₹ 15,00,000 - ₹ 25,00,000

Job Summary

Azure MLOps Engineer is responsible for designing and implementing robust ML pipelines using Azure Machine Learning services.

Key Responsibilities

  • Collaborate with data scientists to transition models from development to production.
  • Implement automation and CI/CD practices for model updates and versioning.
  • Monitor deployed models to ensure operational standards.
  • Troubleshoot and resolve production issues related to ML models.
  • Maintain documentation of ML processes and pipelines.
  • Ensure compliance with data governance and security standards.

Technical Requirements

  • Azure MLOps, Azure Databricks, Python, PyTorch
  • TensorFlow, Scikit-learn, Docker, Kubernetes, Azure DevOps, MLflow, Kubeflow
  • Azure Monitor, Application Insights
  • Programming Languages: Python or R
  • Databases: Azure Data Lake, Azure SQL Database

About the Position

This senior-level engineering role requires experience in designing and implementing ML pipelines using Azure Machine Learning services. The ideal candidate will have strong knowledge of Azure Databricks and experience in automating training, deployment, and monitoring of ML models using Azure DevOps.


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