Position Summary...What you'll do...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.
What you'll do: - Lead high-caliber team to build large-scale Genai systems
- Develop data science systems and tools for retail; e-commerce applications:
- Leverage LLMS to summarize and build large scale applications
- Establish cross-functional relationships to maintain win-win situation for the corporation
- Collaborate with various product stake holders and business owners to formulate and productionize a solution
What you'll bring: Master's 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... - Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.
- Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
- Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
- Solid understanding of LLMs and Genai ecosystems, including GPT, Llama, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
- Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,
Great to have... - Experience with Big Data processing and feature engineering using Spark
- Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
- Hands on experience of designing and training large DL models on GPU
Behavior qualifications... - Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
- Ability to clearly define problems, models and constraints from informal and flexible business requirements
- Tech leadership with teamwork spirit, quick adaptation to new environment
- Form collaborative working environment.
- Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.
- Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.
- Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders.
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.
Bentonville, Arkansas US-06100: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-04396: The annual salary range for this position is $143,000.00 - $286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...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
Preferred Qualifications...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.
Primary Location...601 N Walton Blvd., Bentonville, AR 72716, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
