About this role
Design, build and maintain AI systems that host ML models, tools/APIs, manage state/memory, and complete multi-step workflows; own the ML/DL development lifecycle through production including deployment, monitoring, and live-site reliability. Define success criteria and evaluation datasets, debug AI behavior, establish AI quality metrics and CI/CD gates, and optimize runtime performance and economics while partnering with product and design stakeholders.
Skills for this role
Machine LearningDeep LearningMLOpsAIOpsLarge Language Models (LLMs)LangChainLlamaIndexHaystackTransformersAutoGenDSPyAgent-based orchestrationPrompt engineeringRetrieval-augmented generation (RAG)Fine-tuningModel evaluationDeploymentMonitoringLive-site reliabilityCI/CDEvaluation dataset constructionHuman-in-the-loop reviewLog analysisData inspectionModel/tool-call trace analysisPyTorchPythonC#AzureAWS」「GCP