Ice Cream Artificial Intelligence (AI) Specialist / AI Expert

About 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.

Responsibilities

• 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

Requirements

• 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

Qualifications

• 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

Skills

• End-to-end thinking and ownership for results
• Collaboration and low-ego ways of working

Benefits

• Market-competitive pay and performance related rewards
• Flexible ways of working
• Support for health, wellbeing and life outside of work
• Time off to rest and recharge
• Ongoing learning and development opportunities
• Medical, dental and (where applicable) vision coverage
• Health and wellbeing support, including employee assistance programs and wellness initiatives
• Health-related savings and spending accounts
• Retail savings programs with a competitive matching plan
• Additional employee perks (e.g., corporate discounts, commuter or learning support)

Pay

The pay range for this position is $88,600 to $133,000. The Magnum Ice Cream Company (TMICC) takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.

Benefits

TMICC employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits.

Additional Information

Roles with real accountability and visible impact
Free to move fast, experiment and challenge how things are done
Continuous learning and development as the business grows
Reward linked to performance and contribution.