Staff Analytics Engineer (AI & Predictive)
San DiegoLast seen today
Summary
Staff Analytics Engineer responsible for designing and operationalizing agentic AI workflows, ML models, and Databricks applications at scale. Will build multi-step agent pipelines combining rules, ML models, and reasoning to solve complex business problems, then productionize them with monitoring, drift detection, and retraining strategies. Requires 5+ years of hands-on ML engineering or data science with production system ownership, deep Python proficiency, strong traditional ML foundations, and proven Databricks expertise including notebook apps, dashboards, and ML pipelines. Will serve as technical authority, mentor peers, and influence architectural decisions across teams.
Data ScienceDevOps / InfrastructureAIAWSPythonAgentic AIAnomaly DetectionCI CDClassificationClusteringData GovernanceDatabricksDrift DetectionExplainabilityFeature EngineeringFeature StoresLakehouseMachine LearningML EngineeringMlopsModel EvaluationModel MonitoringModel RetrainingObservabilityRegressionTime Series