ML Platform Engineer
Core
Building secure, scalable, and automated ML/LLM infrastructure on Azure to support real-time inference, retraining, and orchestration of generative AI solutions.
Role type
Senior ML Platform Engineer (MLOps & Cloud Infrastructure)
Builds
Production-ready ML/LLM pipelines, serving environments, and automated CI/CD workflows for enterprise-scale AI.
Domain
Cloud Infrastructure (Azure) + Generative AI / MLOps
Deliverable
production ML models | infrastructure
Required skills
Azure ML, Terraform, Azure DevOps, Kubernetes (AKS), Vector Databases, CI/CD pipeline design, Model lifecycle management, RAG pipeline implementation, Cloud security (RBAC), Cost optimization
Preferred skills
Experience with LangChain or Semantic Kernel, Knowledge of LLM operationalization (GPT, LLaMA, Claude), Experience with Azure Functions or App Services
Technologies
Azure ML, Azure DevOps, Terraform, Azure Kubernetes Service (AKS), Azure Cognitive Search, Redis, FAISS, LangChain, Semantic Kernel, GPT, LLaMA, Claude
Responsibilities
Build and manage end-to-end ML/LLM pipelines on Azure ML; Develop and manage infrastructure as code using Terraform; Design highly available serving environments for LLM inference; Implement robust model lifecycle management; Build reusable Azure DevOps pipelines for deploying ML assets; Provide technical guidance on scalability and high-availability patterns.
Seniority
Senior, hands-on IC
