Ai/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 IC ML Platform Engineer (MLOps)
Builds
Production-ready ML/LLM pipelines, serving environments, and infrastructure-as-code for data science teams
Domain
Enterprise AI, Cloud Infrastructure, MLOps
Deliverable
infrastructure
Required skills
Python, Terraform, Azure ML, Azure DevOps, Kubernetes (AKS), Docker, CI/CD, Vector databases, Model lifecycle management
Preferred skills
LLMOps, Prompt orchestration frameworks (LangChain, Semantic Kernel), Open-weight model deployment, Smart buildings/IoT context
Technologies
Azure, Azure ML, Azure DevOps, Terraform, Azure Kubernetes Service (AKS), 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 and security; Develop infrastructure as code using Terraform; Design highly available serving environments for LLM inference; Build RAG pipelines using vector databases; Implement robust model lifecycle management
Seniority
Senior, hands-on IC
