Design and optimize pipelines for model deployments in production environments using containers (Docker or Azure Kubernetes), Azure DevOps and/or MLOps and Azure Data Factory.
Knowledge of Azure Databricks pipeline and ML Model deployment is mandatory.
Implement efficient microservices frameworks i.e. API Management, message broker, load balancing, etc
Troubleshoot, improve, and scale continuous integration, continuous delivery, and continuous deployment (CI/CD) pipelines
Write design documents to build consensus for new systems components and enhancements to existing components
Extensive programming experience in Python and/or R with knowledge of Object-Oriented Programming.
Experience in Azure DevOps & Azure Cloud Services (e.g. Azure Blob, Azure Key Vault, Azure Data Factory) or similar experience with AWS or Google
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools
Demonstrated history of designing solution pipelines from conception to deployment in production environments e.g. Docker containers on Kubernetes-based platforms with data orchestration in Azure Data Factory