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The Distinguished Software Engineer will enhance technology infrastructure for GRT initiatives, lead architecture strategies, utilize AI to improve processes, and mentor development teams. Responsibilities include optimizing developer processes and communicating effectively with stakeholders to ensure operational excellence and innovation across public and private cloud deployments.

The Software Engineer III - ML is responsible for developing and implementing business solutions using machine learning and data optimization techniques. They will design and deploy scalable systems, mentor engineers, and ensure compliance with company policies while collaborating with key stakeholders on architectural and technical documentation.

The Data Scientist III role involves researching and developing computer vision and machine learning algorithms for object detection and recognition, designing and delivering software systems for retail, and driving actionable insights from large datasets. This position requires collaboration across teams to improve algorithm performance and address complex business challenges.

As a Senior Data Engineer, you will develop and maintain data pipelines for retail data science, collaborate with data scientists and analysts, manage data governance, and support data transformation and integration. Your role will ensure the delivery of valuable data assets and contribute to the evolution of the retail business model.

As a Quality Engineer III, you will develop, support, and maintain systems while focusing on test automation and performance testing. You'll work with teams on project timelines, manage risks, and improve testing frameworks and processes. Clear communication and collaboration with stakeholders are key.

The Principal Software Engineer at Walmart's People.AI team will lead the development of machine learning systems and Generative AI solutions to enhance productivity and well-being for Walmart's associates. Responsibilities include designing system architecture, developing ML services, collaborating with researchers, and supporting production operations.

The Principal Product Manager will lead the product lifecycle, collaborating with engineering and data science teams to scale Customer Relationship Management technology globally. Responsibilities include conducting market analysis, developing product roadmaps, and enhancing customer experiences through data-driven insights.