MLOps Engineer - Azure Infrastructure (5-8 yrs)

Summary :

MLOps Engineer with 5 - 8 yrs of overall experience and at least 3.5 yrs of relevant experience in deploying Machine Learning models using CI/CD process on Azure Cloud.

Location : Bangalore OR Chennai

Working model : Work from office (5 day week)

Key Responsibilities :

- Work with stakeholders to assist with ML pipeline -related technical issues and support modelling infrastructure needs.

- Understanding the production deployments and post-deployment model lifecycle management activities: drift monitoring, model retraining, and model technical evaluation business validation

- Implement CI/CD orchestration for data science pipelines.

- Maintain and enhance CI/CD pipelines for modeling tasks, leveraging GitHub Actions. Pipeline construction using Azure DevOps

- Leverage software engineering expertise for automation and scaling through scripting.

- Collaborate with TCCC CloudOps to define and implement infrastructure requirements on Azure, particularly Azure ML.

- Deploy and manage machine learning models using Azure ML

Skills Required :

- GitHub Actions

- Python

Azure Services :

- Azure container services (including ACR / AKS)

- Azure Resource Manager (ARM) / Terraform )

- Azure Key Vault

- Azure Data Lake Storage

- Azure ML

- Applied knowledge of CI/CD process on ADO

- Understand the key concepts of IaC and practical experience

- Good knowledge of Python and YAML scripting.

- Knowledge of common networking concepts such as VPCs, NACLs, Routing, load balancing, Private Endpoints, VNET Peering etc

- Experience working with docker and container orchestration services like Kubernetes, AKS etc