Machine Learning Engineer II - 328827
About The Position
W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com. Grainger Management LLC is seeking a Machine Learning Engineer II in Lake Forest, IL with the following requirements: Bachelor’s degree in Computer Science, Information Systems, or related field plus 2 years of related experience. Prior experience must include: Design and implement web-tier applications using Spring Boot and RESTful APIs; Develop server-side business logic using Core Java, JPA, DAO, and JDBC; Write and maintain unit and integration tests using JUnit and Mockito; Implement data streaming solutions using Kafka and Databricks on AWS and Kubernetes platforms, supporting both structured and unstructured data sources. Up to 60% remote work allowed.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field plus 2 years of related experience.
- Design and implement web-tier applications using Spring Boot and RESTful APIs
- Develop server-side business logic using Core Java, JPA, DAO, and JDBC
- Write and maintain unit and integration tests using JUnit and Mockito
- Implement data streaming solutions using Kafka and Databricks on AWS and Kubernetes platforms, supporting both structured and unstructured data sources.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
