� Pipeline construction using Azure DevOps and Code Commit.
� Azure container services (including ACR / AKS)
� Azure Resource Manager (ARM) / BICEP
� Azure Key Vault
� Working Experience of Azure Machine Learning studio
� Experience with ML model serving technologies like Kubeflow Serving, MLflow etc.
� Experience with common data science frameworks (i.e. Pandas, NumPy, Scikit-learn, TensorFlow)
- Experience in production deployments and developing end to end CI/CD Pipelines.
- Experience of azure infrastructure and platform in context to AI/ML
- Well versed with automations and deployments using cutting-edge azure technologies.
- Good written and verbal communication skills along with collaboration and listening skills.
- Azure Data Lake Storage
� Applied knowledge of CI/CD process on ADO.
� Understand the key concepts of IaC and some practical experience of application.
- Good knowledge of Python and yaml scripting.
- Experience working with docker and container orchestration services such as Kubernetes, AKS etc.
- Knowledge of common networking concepts such as VPCs, NACLs, Routing, load balancing, Private Endpoints, VNET Peering etc.
- Implement CI/CD orchestration for data science pipelines
- Understanding the production deployments and post-deployment model lifecycle management activities: drift monitoring, model retraining, and model technical evaluation business validation
- Work with stakeholders to assist with ML pipeline -related technical issues and support modelling infrastructure needs.