ML Engineer - Hybrid (3 in/2 remote) AI Solutions

Ahold Delhaize USA

Chicago (IL)

Hybrid

USD 125,000 - 188,000

Full time

44 hours ago
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Job summary

Ahold Delhaize USA is seeking an AI/ML Engineer III to build, test, and deploy machine learning models, integrating AI capabilities into production. The role blends hands-on model work with collaboration across engineering and product teams in a flexible hybrid schedule requiring in-person days at core locations Chicago, Salisbury, or Quincy.

Ideal candidates hold a Masters/PhD in a quantitative field and have 5+ years of AI/ML experience, with strong Python skills, ML libraries, and knowledge

Qualifications

  • Master's degree or PhD in Data Science, CS, Statistics, Mathematics, Engineering, or related field.
  • 5+ years of AI/ML engineering experience.
  • Strong experience with Python and ML libraries.
  • Understanding of deep learning and generative AI.
  • 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 must be available during urgent IT incidents as needed.

Skills

Python
ML model development
Model evaluation
Deep learning
Generative AI
Data preprocessing
Communication

Education

Masters/PhD in Data Science or related field

Tools

Cloud ML platforms

Job description

Ahold Delhaize USA is seeking an AI/ML Engineer III to build, test, and deploy machine learning models, integrating AI capabilities into production. The role blends hands-on model work with collaboration across engineering and product teams in a flexible hybrid schedule requiring in-person days at core locations Chicago, Salisbury, or Quincy.

Ideal candidates hold a Masters/PhD in a quantitative field and have 5+ years of AI/ML experience, with strong Python skills, ML libraries, and knowledge

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