Manager - AI Engineering
INR 1800K-2500K (estimate) Mid-level Full Time
Tasks
- Build and optimize CI/CD pipelines
- Coordinate Agile releases through automation
- Deploy and operate AI enabled data platforms on AKS
- Enable MLOps workflows
- Manage secrets with Azure Key Vault
- Monitor platform health performance and availability
- Perform load testing and optimization
- Provision and manage Azure infrastructure
- Support ETL pipelines
- Support model packaging and versioning
- Track and optimize cloud costs
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Agile | App Service | Azure App | Azure App Service | Azure Container | Azure Container Registry | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure Kubernetes | Azure Kubernetes Service | Azure Monitor | Azure SQL | Azure SQL Database | Bash | BlazeMeter | CI/CD | Container Registry | Data Factory | Data Lake Storage | Databricks | Docker | ETL | GitHub Actions | Helm | JMeter | Key Vault | Kubernetes Service | Log Analytics | MLOps | Microsoft Azure | Powershell | Python | SQL Database | Scrum | VNet | Virtual Machines | Virtual Network | YAML
Education
Roles
AI | AI Engineer | Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | MLOps Engineer
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