AI/ML Engineer - Hybrid: Build & Deploy Models

ADUSA Corporate Support; Quincy (MA); Hybrid; USD 125,000 - 188,000; Full time

Job summary

Ahold Delhaize USA is seeking an AI/ML Engineer III to build, test and deploy machine learning models, and to support integration of AI capabilities into production systems across our technology platforms.

The role includes collaboration with engineering and product partners, feature engineering, data preprocessing, and developing automated ML training pipelines, with a hybrid schedule of 3 in-person days at core locations (Salisbury, Quincy or Chicago) and 2 remote days.

Qualifications

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

Skills

Python

AI/ML engineering

Deep learning

Model evaluation

Communication

Education

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

Tools

Cloud ML platforms

Job description

Ahold Delhaize USA is seeking an AI/ML Engineer III to build, test and deploy machine learning models, and to support integration of AI capabilities into production systems across our technology platforms.

The role includes collaboration with engineering and product partners, feature engineering, data preprocessing, and developing automated ML training pipelines, with a hybrid schedule of 3 in-person days at core locations (Salisbury, Quincy or Chicago) and 2 remote days.