ML Platform Engineer
Monterrey Business Center I, Mexico
MXN 828K-1347K (estimate) Mid-level Full Time Found 6d ago
Tasks
- Automate resource provisioning with Terraform
- Build Azure DevOps CI/CD pipelines
- Build and manage RAG pipelines with vector databases
- Build and manage end-to-end ML/LLM pipelines on Azure
- Collaborate with data scientists and product teams
- Contribute to solution architecture
- Design high-availability serving environments
- Develop Infrastructure as Code with Terraform
- Ensure security, logging, and access control
- Implement model lifecycle management
- Integrate testing, monitoring, and rollback
- Operationalize LLMs and generative AI solutions
- Provide guidance on cost, scalability, and high-availability deployment
Perks/Benefits
- N/A
Skills/Tech-stack
App Services | Automation | Azure App | Azure App Services | Azure DevOps | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Bash | CI/CD | Cloud Architecture | Docker | Kubernetes | Langchain | Lifecycle Management | Logging | ML Lifecycle | ML Lifecycle Management | Machine Learning | Model Deployment | Powershell | PyTorch | Python | RBAC | Security | Semantic Kernel | Terraform | Transformers | Vector Databases
Education
Roles
Language: en |
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Clicks: 0
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