Senior AI/ML Engineer — Hybrid, Impactful Models

Adusa

Salisbury (NC)

Hybrid

USD 125,000 - 188,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work schedule
Core location options: Salisbury NC, -

Job summary

Ahold Delhaize USA is seeking an AI/ML Engineer III to design, train, and deploy machine learning models, and to integrate AI capabilities into production systems. The role emphasizes collaboration with engineering and product partners and requires a strong foundation in Python and ML libraries.

The position supports a flexible hybrid schedule with core assignments in Salisbury, NC, Chicago, IL or Quincy, MA. Applicants must be authorized to work in the United States on a full-time basis.

Qualifications

  • Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field; equivalent advanced experience 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.

Responsibilities

  • 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 urgent IT incidents.

Skills

Python
ML libraries
Model evaluation
Deep learning
Generative AI
Analytics and communication

Education

Master's or PhD in Data Science / CS / Statistics

Tools

Cloud ML platforms

Job description

Ahold Delhaize USA is seeking an AI/ML Engineer III to design, train, and deploy machine learning models, and to integrate AI capabilities into production systems. The role emphasizes collaboration with engineering and product partners and requires a strong foundation in Python and ML libraries.

The position supports a flexible hybrid schedule with core assignments in Salisbury, NC, Chicago, IL or Quincy, MA. Applicants must be authorized to work in the United States on a full-time basis.

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