ML 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 on Azure
Domain
Enterprise thermal management, building systems, and energy efficiency
Deliverable
production ML models
Required skills
Python, Terraform, Azure ML, Azure DevOps, Kubernetes (AKS), Docker, PyTorch, Transformers, LangChain, vector databases, CI/CD pipelines
Preferred skills
LLMOps, prompt orchestration frameworks, open-weight model deployment, smart buildings/IoT/edge-AI experience, Azure certifications
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; Operationalize LLMs with focus on automation, security, and scalability; Develop and manage infrastructure as code using Terraform; Design highly available serving environments for LLM inference; Build and manage RAG pipelines using vector databases; Build reusable Azure DevOps pipelines for deploying ML assets
Seniority
Senior, hands-on IC