
Azure Machine Learning Engineer and Automation Specialist
21 hours ago
Duration: 6 Months Contract
Number of Openings: 1 Position Available
Joining Time: Immediate Start Required
Experience Needed:
- Required Experience: 6 to 8 Years of Professional Experience in the Field
- Total Experience: 6 to 8 Years of Relevant Work Experience
Key Responsibilities and Skills:
Pipeline Development and Deployment:- Design, implement, and maintain robust ML pipelines using Azure Machine Learning services.
- Collaborate with data scientists to transition models from development to production environments.
- Strong knowledge of Azure Databricks is a must.
- Automate training, deployment, and monitoring of ML models using Azure DevOps.
- Implement CI/CD practices for model updates and versioning to ensure smooth workflow.
- Regularly monitor deployed models to ensure they meet operational standards.
- Troubleshoot and resolve production issues related to ML models promptly.
- Maintain accurate documentation of ML processes and pipelines.
- Ensure compliance with data governance and security standards at all times.
- Work closely with data engineers, software developers, and business stakeholders.
- Provide technical support and guidance on ML best practices to team members.
- Mandatory Skills: Azure MLOps, Azure Databricks, Python, PyTorch
- Additional Skills: 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
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