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# AI/ML Engineer, Enterprise AI

- **Company:** Ahold Delhaize Usa
- **Location:** Quincy, MA, United States
- **Experience:** Expert
- **Salary:** $125,040.0 - $187,560.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Agile Methodology, Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing, Data Cleansing, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Azure Machine Learning, Feature Engineering, Apache Spark, Deep Learning, Containerization, Pyspark, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Api Design, Software Version Control, Databricks, Microservices
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bc2128ef49b3d73a

## About the Role

* 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.
 * Expert coding ability in Python and high competency with PySpark
 * Knowledge of API development best practices, model management, code versioning and agile methodologies
 * Understanding of deep learning and generative AI fundamentals.
 * Strong analytical and communication skills.
 * Expert in distributed computing with Spark, DevOps best practices, and containerization
 * Experience with Databricks, Azure ML

Preferred Qualifications:

 * Experience with cloud ML platforms.
 * Experience deploying models on very large data using Databricks, Kafka and Kubernetes
 * Experience working on cloud infrastructure (Azure Preferred)
 * Experience training and serving models on GPU(s)
 * Understanding of, and experience productionizing, the following ML concepts:
 + Collaborative filtering
 + Ranking algorithms
 + Advanced regression, classification, and clustering
 + Deep learning at scale for NL

## Description

* Develop, test, and deploy ML models and agentic capabilities using established architectures and frameworks. Support rapid prototyping and deployment of algorithms
 * Support feature engineering, data preprocessing, and develop experimentation strategies based on requirements to support Data Science initiatives using A/B testing methodologies
 * Build model serving applications for serving using REST microservices. Identify constraints, strengths, and weaknesses of technology options for model serving
 * Assist in developing automated ML training and monitoring pipelines.
 * Collaborate with engineering and product partners to refine AI solution requirements.
 * Works closely within a team environment to incorporate collaborative business plans utilizing both internal and external data partners. Keep up with latest trends in industry on machine learning and gen ai space to enhance model performance
 * May be called upon to support critical escalations and must be available during urgent IT incidents as needed.