Global ML Engineer: Forecasting, Pricing & MLOps

Campari Group

Sesto San Giovanni

In loco

EUR 55.000 - 70.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Campari Group seeks a Global Machine Learning Engineer to accelerate production-ready AI solutions across Revenue Growth Management, forecasting, pricing and promotions. You will bridge data science, data engineering and business stakeholders, delivering scalable ML models, monitoring, governance and automated retraining to unlock measurable revenue and efficiency gains across global markets.

Join a cross-functional, international team focused on turning prototypes into robust products with

Competenze

7+ years of experience in Machine Learning Engineering, Data Science, Data Engineering, Software Engineering or similar AI engineering roles.
Proven experience developing, deploying and maintaining machine learning models in production environments.
Experience with forecasting, optimisation, predictive modelling or commercial analytics use cases is strongly preferred.
Experience operating in complex, international business environments and working with cross-functional stakeholders.
Experience translating analytical prototypes into scalable products and reusable capabilities.

Mansioni

Design, develop, validate and maintain machine learning models supporting forecasting, pricing optimisation, promotion optimisation and commercial analytics use cases.
Develop scalable forecasting models across demand, sales and commercial planning processes, supporting improved business planning, S&OP effectiveness and decision quality.
Build optimisation engines and analytical models that support Revenue Growth Management decisions, including trade investment, promotional effectiveness and net sales performance opportunities.
Translate business needs into robust ML technical solutions, balancing accuracy, interpretability, usability and operational feasibility.
Transform analytical prototypes and data science models into scalable, production-ready AI products that can be deployed, monitored and maintained globally.
Design and implement MLOps pipelines for automated model training, retraining, deployment, versioning, performance monitoring and lifecycle management.
Establish reusable model components, technical patterns and deployment accelerators that can be replicated across markets, brands and business functions.
Ensure production ML solutions are reliable, maintainable and aligned with enterprise architecture, security and operational standards.
Integrate ML outputs into enterprise platforms, business workflows, dashboards and decision-support tools.
Collaborate with Data Platform, Data Engineering and Application teams to ensure the availability, quality and scalability of the data pipelines required by ML products.
Support automation of repetitive analytical activities, enabling business teams to focus on higher-value interpretation, planning and decision-making.
Contribute to Agentic AI scenarios where forecasting, optimisation and business workflows are connected through intelligent assistants and agents.
Partner with business stakeholders to prioritise ML use cases based on value, feasibility, scalability and strategic relevance.
Provide technical guidance to data scientists, analysts and business teams on ML engineering, deployment and maintainability considerations.
Stay informed about emerging machine learning, optimisation and MLOps technologies, assessing relevance for Campari Group priorities.
Contribute to building sustainable internal AI capabilities and reducing long-term dependency on external consultants and contractors.