About usKIWI is not just a company, it's a revolution. Since 2019, 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 international markets — sales by channel, survey results, purchase behaviorSupport the product and R&D team with data-driven insights to improve decision-making on portfolio and innovationDevelop automated reporting tools that replace manual data extraction and aggregationAI Enablement & Team TrainingWork side-by-side with non-technical teams to understand their needs and translate them into AI solutions they can use independentlyTrain and upskill colleagues on AI tools, creating lasting capability within the organizationDocument and standardize implemented solutions to ensure continuity and scalabilityCandidate Profile2–4 years of experience in ML, data science, or applied AIStrong proficiency in Python and relevant ML frameworks (scikit-learn, PyTorch, or similar)Hands-on experience with LLM APIs and prompt engineeringComfortable working with messy, incomplete, real-world dataAble to communicate clearly with non-technical stakeholdersExecution-oriented — you ship, you don't just presentExperience with automation tools (n8n, Make, or similar) is a strong plusFamiliarity with BI tools (Metabase, Looker, Power BI) is a strong plusBackground in FMCG or consumer goods is a plusFluent in English; Italian or other European languages are a plusWhat We OfferCross-functional mandate with visibility across all business areasReal data from four international markets to build onDedicated budget for tools, APIs and experimentationA dynamic, international environment with flat decision-makingWork location in Istria — high quality of life, competitive cost of livingCompetitive compensation package, discussed based on profile