About this role
Lead a team of applied ML scientists to own end-to-end development of SentiLink's fraud detection and identity verification models, from data acquisition and feature engineering through model training, deployment, and monitoring. Stay hands-on with code review and production systems while partnering with Product, Engineering, and Risk and advancing the team's use of modern LLMs and AI tools under strong data governance.
Skills for this role
Python 3PostgreSQLAWSXGBoostscikit-learnpandasElasticsearchOpenSearchNeo4jMLflowFlyteModern LLM toolingAI-assisted development workflowsProduction MLModel TrainingFeature EngineeringLabeling StrategyExperimentationModel DeploymentModel MonitoringApplied StatisticsProduction-quality PythonCode ReviewTeam ManagementMentoringFraud DetectionIdentity VerificationData GovernanceInformation Security