
Data Science Specialist
1 week ago
Azure MLOps Engineer Position
We are seeking an experienced Senior Engineer to fill this role. The ideal candidate will have a strong background in Azure MLOps, pipeline development, and automation.
Main Responsibilities:
- Design and implement robust ML pipelines using Azure Machine Learning services.
- Collaborate with data scientists to transition models from development to production.
- Strong knowledge of Azure Databricks is required.
Pipeline Development and Automation:
- Automate training, deployment, and monitoring of ML models using Azure DevOps.
- Implement CI/CD practices for model updates and versioning.
Model Monitoring and Maintenance:
- Monitor deployed models to ensure operational standards.
- Troubleshoot and resolve production issues related to ML models.
Documentation and Compliance:
- Maintain documentation of ML processes and pipelines.
- Ensure compliance with data governance and security standards.
Collaboration and Support:
- Work with data engineers, software developers, and business stakeholders.
- Provide technical support and guidance on ML best practices.
Technical Requirements:
- 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
The ideal candidate will have 6-8 years of relevant experience and strong knowledge of Azure MLOps, pipeline development, and automation.
This is a 6-month contract position with immediate joining time.
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