The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart's product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: We are looking for a Principal Machine Learning Engineer who can help build large scale AI/ML/Optimization products. Expected qualities include ability to build, deploy, maintain and troubleshoot large scale systems. As a Principal (ML Engineer) Data Scientist, you'll have the opportunity to Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art Lead the team to develop production level code for implementation of AI/ML solutions using best practices to handle high scale and low latency requirements Design large scale AI/ML products/systems impacting millions of customers Develop highly scalable, timely, highly-performant, instrumented and accurate data pipelines Identify, develop, and deliver improvements on data performance, data quality and cost, which needs to be monitored and analyzed Enable data governance practices and process by being a passionate adopter and ambassador Perform fine-tuning operations on large language models to customize them for specific business needs Optimize large language models for performance and scalability in production environments Utilize and contribute to generative AI advancements to develop novel solutions that meet business requirements Collaborate with multiple stakeholders to drive innovation at scale Build a strong external presence through publishing your team's work in top-tier AI/ML conferences and developing partnerships with academic institutions Adhere to Walmart's policies, procedures, mission, values, standards of ethics and integrity Adopt to Walmart's quality standards, develop/recommend process standards and best practices across the retail industry
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Job Type
Full-time
Career Level
Principal
Industry
General Merchandise Retailers
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees