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Ai & ml engineer (casoli)

Casoli (Provincia di Chieti)
KIWI VAPOR
Pubblicato il 26 marzo
Descrizione

About usKIWI is not just a company, it's a revolution.Since ****, we have been passionately committed to creating innovative solutions that improve people's lives, helping as many smokers as possible quit smoking.With our headquarters in Croatia and a rapidly expanding international presence, our goal is to become the reference brand in Europe and a global benchmark in the e-cigarette industry.Our products combine cutting-edge design, innovative technology and a strong commitment to sustainability, proving that changing the world is possible, one step at a time.KIWI is looking for an AI & ML Engineer to join its international team.The roleThe AI & ML Engineer will have a cross-functional mandate across the entire organization: auditing internal processes, identifying where automation and AI generate real value, and implementing concrete solutions — regardless of department.This is not an execution role.It is a role that requires the ability to ask the right questions, map repetitive workflows, propose where to intervene, and then build and deploy solutions that get adopted.Work location: Buje, Croatia, at the company's HQKey ResponsibilitiesProcess Audit & PrioritizationMap workflows across all departments — HR, operations, finance, marketing, product — to identify repetitive, low-value tasks suitable for automationDefine and maintain a prioritized backlog of AI and automation opportunities, ranked by effort and business impactTranslate operational inefficiencies into actionable technical briefsAI Implementation & AutomationDesign, build and deploy automation pipelines for HR and operations processes — onboarding, contract management, internal reportingIntegrate LLM APIs and AI-powered tools into real workflows across marketing, operations and product teamsEnsure solutions are robust, maintainable and actually used — adoption is the success metric, not deploymentData & Consumer IntelligenceBuild models and dashboards to analyze consumer data across four in

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