AI/ML Engineer, Enterprise AI

Company: Ahold Delhaize USA Location: Quincy, MA Type: Full Time Compensation: 558916 Job Family: Data & Analytics Industry: Retail Services Primary Purpose The AI/ML Engineer III builds machine learning models, implements training and evaluation workflows, and supports integration of AI capabilities into production environments.In close collaboration with our Data Scientists, Data Engineers, and MLOps Engineers this role will scale machine learning algorithms, agentic solutions, and develop novel approaches to enterprise AI. This position plays a pivotal role in a fast-growing, globally focused network of data scientists, machine learning engineers, and AI practitioners, working to improve enterprise AI efficiency gains and agentic workflows.*Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Quincy, MA.*Applicants must be currently authorized to work in the United States on a full-time basis. The AI/ML Engineer III builds machine learning models, implements training and evaluation workflows, and supports integration of AI capabilities into production environments.In close collaboration with our Data Scientists, Data Engineers, and MLOps Engineers this role will scale machine learning algorithms, agentic solutions, and develop novel approaches to enterprise AI. This position plays a pivotal role in a fast-growing, globally focused network of data scientists, machine learning engineers, and AI practitioners, working to improve enterprise AI efficiency gains and agentic workflows.*Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Quincy, MA.*Applicants must be currently authorized to work in the United States on a full-time basis. Duties & Responsibilities 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. 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. Qualifications 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 Salary Range: $125,040 - $187,560Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. 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 Salary Range: $125,040 - $187,560Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. Legal Disclaimer: Ahold Delhaize USA is an equal opportunity employer. view full text Under the Federal Transparency in Coverage rule, group health plans are required to make publicly available machine-readable files that include in-network rates and out-of-network allowed amounts and billed charges. Click here to view the in-network rates and out-of-network allowed amounts and billed charges for health benefits offered by Ahold Delhaize USA. Our employees and prospective employees are treated with respect and dignity. As an equal opportunity employer, we comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law. We provide reasonable accommodations to applicants and employees with disabilities. If you have a disability and require assistance in the application process, please contact our Talent Acquisition Department at tad@adusa.com. view full text Apply Now