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.

AI Cognitive