Global ML Engineering
Pubblicato il 06-09-2026 - Campari Group in Italia
Campari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas.
Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people.
Shares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since 2001. Campari Group is today the sixth-largest player worldwide in the premium spirits industry.
Mission
The Global Machine Learning Engineer is responsible for accelerating the delivery, industrialisation and scaling of Machine Learning capabilities across Campari Group, with a particular focus on Revenue Growth Management, forecasting, pricing optimisation, promotional effectiveness and commercial analytics. The role transforms advanced analytical prototypes into robust, reusable and production-ready AI products that improve decision quality, increase automation,
reduce external dependency and unlock measurable revenue, margin and operational efficiency benefits.
General Description Of The Role
Within the Technology & Services organization, the AI, Data & Analytics team, the Global Machine Learning Engineer is responsible for enabling data-driven decision making and accelerating business value through data, analytics and Artificial Intelligence capabilities.
The Global Machine Learning Engineer plays a critical role in designing, developing, deploying and maintaining machine learning models, optimisation engines and production-grade AI solutions that support strategic initiatives across Revenue Growth Management, demand forecasting, pricing optimisation, promotion effectiveness, sales planning and commercial decision-making.
The role bridges data science, data engineering, business stakeholders and technology platforms, ensuring that AI and ML models