<h2>Position Summary...</h2><h2>What youll do...</h2>Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. 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 youll do:<ul><li>Lead high-caliber team to build large-scale Genai systems</li><li>Develop data science systems and tools for retail; e-commerce applications:</li><li>Leverage LLMS to summarize and build large scale applications</li><li>Establish cross-functional relationships to maintain win-win situation for the corporation</li><li>Collaborate with various product stake holders and business owners to formulate and productionize a solution</li></ul> What youll bring:Masters degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7+ years experience in the related field.Must have qualifications...<ul><li>Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.</li><li>Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.</li><li>Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.</li><li>Solid understanding of LLMs and Genai ecosystems, including GPT, Llama, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.</li><li>Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,</li></ul>Great to have...<ul><li>Experience with Big Data processing and feature engineering using Spark</li><li>Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure</li><li>Hands on experience of designing and training large DL models on GPU</li></ul>Behavior qualifications...<ul><li>Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures</li><li>Ability to clearly define problems, models and constraints from informal and flexible business requirements</li><li>Tech leadership with teamwork spirit, quick adaptation to new environment</li><li>Form collaborative working environment.</li><li>Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.</li><li>Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.</li><li>Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders.</li></ul> About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.   Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.  Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.  At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎ For information about PTO, see <a href="https://one.walmart.com/notices" target="_blank">https://one.walmart.com/notices</a>.‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sams Club facilities. Programs range from high school completion to bachelors degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎ For information about benefits and eligibility, see <a target="_blank" href="https://bit.ly/3iOOb1J">One.Walmart</a>.‎ The annual salary range for this position is $110,000.00-$220,000.00‎ Additional compensation includes annual or quarterly performance bonuses.‎ Additional compensation for certain positions may also include:‎ ‎ - Stock‎ ‎ <h2></h2><h2>Minimum Qualifications...</h2>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field<h2></h2><h2>Preferred Qualifications...</h2>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.<h2></h2><h2>Primary Location...</h2>601 N Walton Blvd, Bentonville, AR 72716, United States of America