Senior Cloud Engineer, ML/AI Platform

- 5-7 years of experience in cloud engineering, with at least 3 years specializing in AI/ML platforms - In-depth hands-on knowledge of AWS AI/ML services including SageMaker, Bedrock - Comprehensive understanding of Azure AI/ML services including Azure Machine Learning, Azure OpenAI, and Azure AI Foundry - Proven track record in creating MLOps platforms and automated ML pipelines - Strong grasp of LLMOps, lifecycle management of large language models, agentic AI, retrieval-augmented generation (RAG), and prompt engineering - Experience in establishing guardrails and governance for LLM services - Proficient in Python and infrastructure-as-code tools such as Terraform, CloudFormation, and ARM/Bicep - Familiarity with MLflow or similar tools for experiment tracking and model registries - Expertise in cloud security best practices including private endpoints, customer-managed keys, and network isolation tailored for AI/ML services - Solid understanding of cloud networking architecture in regulated environments - Experience in working within highly regulated industries with demanding compliance requirements - Background in agile delivery methodologies