MLOps Engineer
Tasks
- Build CI CD pipelines for data and ML
- Deploy and operate services on Kubernetes
- Deploy real time and batch model endpoints
- Design automated ML pipelines
- Implement data and ML workflows
- Implement governance and access control
- Manage infrastructure as code
- Monitor and troubleshoot production pipelines
- Package ML applications with Docker
- Track experiments with MLflow
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | Apache Spark | Azure Container | Azure Container Registry | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Key Vault | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure Monitor | Azure Pipelines | Azure Repos | Azure Synapse | Azure Synapse Analytics | Bicep | CI/CD | Container Registry | Data Factory | Data Lake Storage Gen2 | Delta Lake | Docker | Generative AI | Git | Grafana | Key Vault | Kubernetes Service | LLMOps | Lakehouse | Log Analytics | MLflow | Machine Learning | Prometheus | Synapse Analytics | Terraform | Unity Catalog
Education
N/A
Roles
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