Ice Cream Artificial Intelligence (AI) Specialist / AI Expert

Life tastes better with ice cream

With 19.000 expert ice cream colleagues and iconic brands like Wall’s, Cornetto and Ben & Jerry’s, loved in 76 countries, we are the world’s largest Ice Cream company leading the industry.
 
We create iconic ice cream brands that are part of everyday life, bringing moments of joy to millions of people around the world. Everybody loves ice cream. And as the world’s biggest pure‑play ice cream company, we have the scale and ambition to make a real difference. 

What truly sets us apart is how we work. 

We move fast and keep things simple. We turn ideas into action, trust people to take ownership, and work as one team to win together with integrity. Our culture is high‑performance, collaborative and focused on getting things done. 

We’re curious and ready for what’s next. We embrace digital, use data to make better decisions, and keep learning, including how AI can help us work smarter and serve consumers better.

Scope: North American Manufacturing Operations

Terms & Conditions: Full-time - Permanent. Candidates must be legally authorized to work in the United States on a full‑time basis without the need for current or future employer sponsorship. Relocation is not supported for this role. Employment eligibility will be verified as part of the hiring process. 

THE ROLE:

We are seeking a highly skilled AI Expert to drive the design, development, and deployment of advanced analytics, machine learning, and AI-driven solutions. This role will translate business challenges into scalable digital solutions, enabling data-driven decision-making and operational efficiency.

The AI Specialist will drive end-to-end development and deployment of AI, advanced analytics solutions, and generally next generation across North American manufacturing operations, collaborating with cross-functional teams including Global Digital, Engineering, IT, and Business stakeholders.

WHAT YOU’LL BE RESPONSIBLE FOR:

• Design and deliver scalable AI/ML solutions addressing high-value use cases such as forecasting, optimization, predictive maintenance, and operational automation
• Identify and prioritize AI opportunities aligned with strategic business objectives and operational KPIs.
• Translate business needs into robust data models, algorithms, and technical architectures.
• Lead model lifecycle management: data exploration, site specific specialization, training, validation, and deployment.
• Embed AI solutions into business workflows (dashboards, applications, automation pipelines) to ensure adoption and sustained impact.
• Partner cross-functionally with Digital, Engineering, IT, and Operations teams to ensure seamless integration and execution.
• Establish best practices in data quality, governance, and compliance. Continuously monitor model performance and drive iterative improvements.
• Stay at the forefront of AI innovation, bringing emerging technologies into practical, scalable use.

WE’RE LOOKING FOR SOMEONE WHO…

• Thinks end-to-end and takes ownerships for results
• Is comfortable working in a fast-moving, evolving organization
• Values collaboration, clarity and low-ego ways of working

Skills, Experiences & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
• Proven experience in AI, machine learning, or advanced analytics roles.
• Strong programming skills.
• Experience with machine learning frameworks and libraries.
• Solid understanding of data structures, algorithms, and statistical modeling.
• Experience working with structured and unstructured data sources.
• Familiarity with cloud platforms and data ecosystems.
• Preferred experience in supply chain, operations, or manufacturing environments.
• Preferred knowledge of AI use cases such as predictive maintenance, quality analytics, and process optimization.
• Preferred experience with MLOps, automation frameworks, or deployment pipelines.

Leadership:

• Strong stakeholder management and communication skills, with the ability to act as a translator between business and technology teams.
• Problem-solving and systems thinking to connect data, processes, and business outcomes.
• Automation and digital transformation mindset with a focus on practical adoption.
• Continuous learning and adaptability to keep pace with emerging AI technologies and best practices.

WHAT YOU’LL GET:

Alongside meaningful w…