Global Ml Engineering
Pubblicato il 20-09-2026 - Gruppo Campari in Varese
Overview
As Global Machine Learning Engineer, you accelerate the delivery and scaling of AI across Campari Group, focusing on Revenue Growth Management, forecasting, pricing optimisation and commercial analytics.
You will transform prototypes into production-grade AI products, enabling measurable revenue, margin and efficiency gains.
You'll collaborate with cross-functional teams to deploy scalable ML solutions at global scale and ensure governance, monitoring and sustainable adoption.
Retribuzione / Benefits
55K-70K base salary
10% STI
variable compensation possible
benefits package
diversity & inclusion policies
Fair Pay Certification
Responsabilità
Design, develop, validate and maintain ML models for forecasting, pricing and promotion optimisation
Build scalable forecasting and decision-support models across demand, sales and commercial planning
Create optimisation engines to support revenue growth decisions and trade investments
Transform prototypes into production-ready AI products with robust MLOps pipelines
Enable RGM use cases with predictive analytics and embedded forecasting into workflows
Support model explainability, governance,
monitoring and responsible AI practices
Integrate ML outputs into enterprise platforms and dashboards; automate data pipelines
Partner with stakeholders to prioritise use cases and promote adoption across markets
Requisiti fondamentali
7+ years in ML engineering, data science, data engineering or related roles
Proven experience deploying ML models in production
Experience with forecasting, optimisation, or commercial analytics
Ability to work in complex, international environments and translate prototypes into scalable products
Strong programming in Python and familiarity with ML libraries
Experience with cloud AI platforms (Azure AI Services, Azure ML, Databricks) and MLOps
Understanding of model explainability, monitoring and performance management
Excellent communication and stakeholder management skills
Bachelor's or Master's degree in a related field
Fluent English
Strong analytical mindset
Problem-solving and prioritisation
Cross-functional collaboration
Python and ML libraries/frameworks
Azure AI Services / Azure Machine Learning
Databricks