About this role
Build production ML systems from messy customer decision data, choosing between classical classifiers, embedding methods, or fine-tuned LLMs; improve classification pipelines, features, and detection strategies. Partner with engineering and data teams to build training, hosting, and inference platforms, design evaluation and metrics infrastructure, and mentor teammates as Cinder's ML capability matures.
Skills for this role
Machine LearningGradient BoostingTree-based ModelsClassificationEmbedding-based MethodsLarge Language Models (LLMs)Feature EngineeringClass Imbalance HandlingPrecision and RecallPythonPyTorchscikit-learnLangChainXGBoostMLOpsCI/CD for MLModel VersioningExperiment TrackingDrift DetectionProduction MonitoringDatabricksInference System DesignAWSTerraformTraining PipelinesModel ServingEvaluation Infrastructure