Ice Cream AI Specialist / AI Expert

The Magnum Ice Cream Company

AI Expert developing and deploying advanced analytics and AI-driven solutions at Ice Cream company. Working cross-functionally to enhance operational efficiency in manufacturing operations across North America.

Posted 7/10/2026full-timeEnglewood Cliffs • Montana, New Jersey, Tennessee, Vermont • 🇺🇸 United StatesMid-LevelSenior💰 $88,600 - $133,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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.
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.

Benefits

Comp & perks

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
Retirement savings programs with a competitive matching plan
Additional employee perks (e.g., corporate discounts, commuter or learning support)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Programming SkillsData StructuresAlgorithmsStatistical ModelingMachine LearningAdvanced AnalyticsData ExplorationModel ValidationPredictive MaintenanceProcess Optimization

Soft Skills

Communication SkillsProblem-SolvingSystems ThinkingAdaptabilityContinuous Learning