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 and manage ML/LLM pipelines on Azure
- Build and manage RAG pipelines
- Collaborate with data scientists and engineers
- Contribute to AI solution architecture
- Create Azure DevOps pipelines for ML assets
- Design scalable inference environments
- Develop Infrastructure as Code with Terraform
- Implement security, logging, RBAC, audit trails
- Integrate automated testing and monitoring
- Operationalize generative AI solutions
- Provide guidance on cost and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Cognitive | Azure Cognitive Search | Azure DevOps | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Bash | CI/CD | CI/CD principles | Cognitive Search | Docker | Faiss | Inference architectures | Kubernetes | Langchain | ML inference | ML inference architectures | Model Registry | Powershell | PyTorch | Python | Redis | Semantic Kernel | Terraform | Transformers | Vector Databases
Roles
Language: en |
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Clicks: 0
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