About this role
Act as the primary bridge between mission stakeholders and the machine learning development team, translating operational challenges into well-defined requirements for AI/ML models and defining acceptance criteria. Responsibilities include documenting business and functional requirements, creating user stories and technical specifications, coordinating with data scientists and ML engineers, and participating in UAT to validate model outputs.
Skills for this role
Requirements elicitationBusiness analysisSystems analysisAgile/ScrumAI/ML conceptsSupervised learningUnsupervised learningTraining dataModel evaluationAcceptance criteria definitionLatency measurementAccuracy measurementPrecision measurementStakeholder communicationInterpersonal skillsUser acceptance testing (UAT)Backlog managementPrioritizationData science collaborationMachine Learning engineering collaborationAnalytical skillsProblem-solvingTS/TS-SCI security clearance