Senior Machine Learning Engineer (MLOPS)
US - GA - Atlanta, United States
USD 152K-178K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI CD pipelines for machine learning workflows
- Create and maintain automated model pipelines
- Deploy machine learning models to production
- Deploy workloads to Azure Container Instances
- Deploy workloads to Azure Kubernetes Service
- Implement Medallion architecture data flows
- Implement monitoring for model performance and data drift
- Integrate data pipelines from data engineering teams
- Manage ML lifecycle with Azure Machine Learning
- Manage data science with Microsoft Fabric
- Mentor and guide MLOps engineers
- Operationalize model training evaluation and deployment
- Package models into Docker containers
- Set up logging and observability for Kubernetes endpoints
- Troubleshoot production operational issues
- Use Azure Container Registry for container image management
- Use Git for version control
- Write testable modular Python code
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Container | Azure Container Instances | Azure Container Registry | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | CI/CD | Container Instances | Container Registry | Data Pipelines | Docker | Git | GitHub Actions | Kubernetes | Kubernetes Service | Logging | Machine Learning | Medallion Architecture | Microsoft Fabric | Monitoring | Observability | Python
Education
N/A
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