Enterprise AI/ML Engineer III — Hybrid (Quincy)

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 in Quincy, MA. The role focuses on developing, deploying, and scaling machine learning models, collaborating with data scientists and engineers to drive enterprise AI initiatives. The position follows a hybrid schedule with 3 in-person days and 2 remote days.

The candidate should have a strong background in Python, PySpark, and cloud-based ML platforms such as Databricks and Azure ML, and be comfortable deploying models at scale.

Qualifications

• Master's or PhD in Data Science, CS, Statistics, Math, Engineering or related field.
• 5+ years AI/ML engineering experience.
• Expert coding in Python and PySpark.
• Knowledge of API development, model management, versioning and Agile methods.
• Understanding of deep learning and generative AI fundamentals.
• Strong analytical and communication skills.
• Experience with distributed computing, Spark, DevOps, and containerization.
• Experience with Databricks and Azure ML.

Responsibilities

• Develop, test, and deploy ML models and agentic capabilities.
• Support feature engineering, data preprocessing, and experimentation strategies.
• Build model serving apps using REST microservices.
• Automate ML training and monitoring pipelines.
• Collaborate with product partners to refine AI requirements.
• Work with internal/external data partners and keep up with AI trends.

Skills

Python

PySpark

REST APIs

Model management

Distributed computing

Deep learning

DevOps

Communication

Education

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

Tools

Databricks

Azure ML

Kubernetes

Job description

Ahold Delhaize USA is seeking an AI/ML Engineer III in Quincy, MA. The role focuses on developing, deploying, and scaling machine learning models, collaborating with data scientists and engineers to drive enterprise AI initiatives. The position follows a hybrid schedule with 3 in-person days and 2 remote days.

The candidate should have a strong background in Python, PySpark, and cloud-based ML platforms such as Databricks and Azure ML, and be comfortable deploying models at scale.