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7 hours ago
As a senior engineer, you will play a pivotal role in designing and implementing robust machine learning pipelines using Azure Machine Learning services. Your primary objective will be to collaborate with data scientists to ensure seamless transition of models from development to production, adhering to operational standards.
Key Performance Indicators:
- Machine Learning Pipeline Development: Design and implement scalable ML pipelines using Azure Machine Learning services.
- Automation and CI/CD: Automate training, deployment, and monitoring of ML models using Azure DevOps.
- Monitoring and Maintenance: Monitor deployed models to ensure operational standards and troubleshoot production issues related to ML models.
- Documentation and Compliance: Maintain documentation of ML processes and pipelines and ensure compliance with data governance and security standards.
- Collaboration: Work with cross-functional teams to provide technical support and guidance on ML best practices.
Technical Skills and Qualifications:
- Mandatory: Azure MLOps, Azure Databricks, Python, PyTorch
- Additional: 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
This is an exceptional opportunity to contribute to the growth and success of our organization by working on cutting-edge projects and driving innovation.
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