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The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.
The Senior Solutions Architect will lead technology direction for Grainger's Supply Chain, collaborating with various teams to design and implement technology solutions in order fulfilment and warehouse operations. Responsibilities include advising on project feasibility, creating architecture designs, and maintaining documentation. The role requires strong technical leadership and expertise in the SAP ecosystem and cloud technologies.
The Manager, Business Systems Engineering will lead a team to enhance and optimize Grainger's technology platforms in the Warehouse Management Systems domain, ensuring effective technology capabilities for employees and customers. This role involves strategic leadership, fostering a culture of improvement, and driving modernization and reliability of core business applications.
The Sr. Business Systems Engineer will manage SAP ECC functions related to Purchasing and Material Master records, collaborate with the procurement team for efficient business operations, and ensure seamless integration across systems. Responsibilities include designing, configuring, and optimizing software platforms and translating complex business requirements into technical specifications.
The Business Systems Engineer III is responsible for delivering technical solutions for Supply Chain SAP technology stacks, specifically SAP EWM. Responsibilities include designing EWM solutions, testing and troubleshooting systems, and supporting production SAP solutions while ensuring alignment with business processes.
As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.
As a Software Engineer II, you will work on the Site Reliability Engineering team, enhancing system observability, addressing issues, mentoring junior members, and driving technical initiatives. You will manage observability tools like Datadog and improve software delivery stability, utilizing a strong background in programming and cloud technologies.
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