Machine Learning Architect 2
US - GA - Atlanta, United States
USD 143K-169K Senior-level Full Time
Tasks
- Build and maintain CI CD pipelines for machine learning workflows
- Deploy machine learning models to production
- Deploy scalable workloads to Azure Kubernetes Service
- Develop clean modular testable Python code
- Implement monitoring for model performance and data drift
- Integrate data pipelines for machine learning inputs
- Manage container images and deployments in Azure
- Manage source code with Git
- Mentor MLOps engineers
- Operationalize machine learning models in Docker containers
- Set up logging and observability for Kubernetes endpoints
- Train evaluate and deploy machine learning models
- Troubleshoot production operational issues
Perks/Benefits
- Agile work environment
- Career development
- Full time work authorization support
- Medical benefits
- Mentorship
- Other benefits
- Performance reviews
Skills/Tech-stack
Azure Container | Azure Container Registry | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | CI/CD | Container Registry | Data Drift | Docker | Git | GitHub Actions | Kubernetes | Kubernetes Service | Logging | MLOps | Machine Learning | Microsoft Fabric | Model Monitoring | Observability | Python
Education
N/A
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