Platform Engineer
Core
Build secure, scalable, and automated infrastructure on Azure to enable enterprise-scale ML and generative AI capabilities, supporting real-time LLM inference, retraining, and orchestration.
Role type
Senior IC Platform Engineer (MLOps/Cloud Infrastructure)
Builds
Production-ready AI features, LLM inference environments, and automated ML pipelines for product and operations
Domain
Cloud Infrastructure (Azure) + Machine Learning Operations (MLOps)
Deliverable
production ML models
Required skills
Python, Terraform, Azure ML, Azure DevOps, Kubernetes (AKS), Docker, CI/CD, Vector Databases, Model Lifecycle Management
Preferred skills
LLMOps, Prompt Orchestration (LangChain, Semantic Kernel), Open-weight model deployment, Smart buildings/IoT context
Technologies
Azure, Azure ML, Azure DevOps, Terraform, Azure Kubernetes Service, Azure Functions, Redis, FAISS, LangChain, Semantic Kernel, PyTorch, Transformers
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; Build reusable CI/CD pipelines for deploying ML assets; Implement robust model lifecycle management; Provide technical guidance on cost optimization and scalability patterns
Seniority
Senior, hands-on IC
