AI/ML Engineer
Listed on 2026-10-24
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.
OverviewThe AI/ML Engineer III builds machine learning models, implements training and evaluation workflows, and supports integration of AI capabilities into production environments.
* Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Salisbury, NC, Chicago, IL or Quincy, MA.
* Applicants must be currently authorized to work in the United States on a full-time basis.
- Develop, test, and deploy ML models using established architectures and frameworks.
- Support feature engineering, data preprocessing, and model evaluation.
- Assist in developing automated ML training and monitoring pipelines.
- Collaborate with engineering and product partners to refine AI solution requirements.
- Research tools and methods to enhance model performance.
- May be called upon to support critical escalations and must be available during urgent IT incidents as needed.
- Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field required; equivalent advanced experience in applied data science may be considered.
- 5+ years of AI/ML engineering experience.
- Strong experience with Python, ML libraries, and model evaluation techniques.
- Understanding of deep learning and generative AI fundamentals.
- Strong analytical and communication skills.
- Experience with cloud ML platforms.
Salary Range: $125,040 - $187,560
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
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