About Team

Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. At People Support Tech, EBS we help, support and empower the Walmart's HR function with AI and GenAI solutions to improve productivity, harnessing the opportunities for growth, focusing on well-being and cultivating cultures of belonging for all Walmart's associates. Our team is responsible for transforming the People Help Center experience that is being leveraged by 2.2M associates through different voice and chat channels.

The vision is to deliver a radically efficient, deeply empathetic People Services experience where associates get what they need the first time—with clarity, speed, and zero unnecessary effort. By leveraging AI, the system anticipates and resolves associates queries on HR functions like Benefits, Payroll etc. before they become human contacts, ensuring proactive support for associates. Additionally, human agents are empowered with context, judgment support, and automation, allowing them to deliver faster, more accurate assistance while focusing on meaningful interactions. This approach enhances productivity, cultivates a culture of belonging, and completely transforms the HR Help Center Experience for all Walmart's associates.

Our team is seeking a highly skilled Senior Data Scientist to help design, build, and scale AI/ML and GenAI solutions in production. In this hands-on individual contributor role, you will bring strong applied experience and a deep passion for building AI-powered products that deliver real business impact. You will contribute to the development of enterprise-scale GenAI and AI systems, apply modern generative AI techniques, and collaborate closely with data scientists, machine learning engineers, and software engineers in a highly collaborative environment. You will also play a key role in shaping technical solutions by contributing to system architecture, aligning AI/ML designs with business and scalability goals, and ensuring solutions are robust, responsible, and production-ready. Additionally, the role involves close collaboration with cross-functional partners and upholding high engineering standards through thoughtful design and code reviews.

Walmart's Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.

As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.

What you will do

Collaborate with data scientists, machine learning engineers, and software engineers to design, build, deploy, and operate AI/ML and GenAI systems, including agentic AI solutions, in production environments

Design and implement agentic AI workflows using frameworks such as LangChain, LangGraph, or equivalent, enabling multi-step reasoning, tool use, and autonomous task execution

Architect and manage stateful AI systems, including conversation state, long-term memory, context persistence, and retrieval strategies to support reliable, personalized, and multi-turn experiences

Design end-to-end architectures for GenAI, AI/ML, and data-intensive applications, with a focus on scalability, observability, safety, and cost efficiency

Develop and deploy production-grade real-time and batch ML/GenAI services, supporting low-latency inference, orchestration, and fault-tolerant execution

Partner with product managers to design user journeys, feedback loops, and telemetry strategies that continuously improve agent behavior and system outcomes

Identify and propose AI/ML and agentic AI use cases that improve business processes, and rapidly build MVPs and POCs to validate feasibility and impact

Uphold and advance trustworthy AI practices, including evaluation, guardrails, monitoring, and human-in-the-loop mechanisms for agent-based systems

Collaborate with applied researchers and ML engineers to iterate on models, prompts, tools, memory strategies, and MLOps practices for agentic systems

What you will bring

6+ years of professional experience designing, developing, deploying, and maintaining scalable, production-grade AI/ML and GenAI systems

Bachelor's or Master's degree in computer science, engineering, statistics, mathematics, economics, or a related quantitative field

Strong industry experience building production AI/ML systems, preferably at large technology companies or AI-native startups

Expertise in Python, with a proven track record of writing high-quality, performant, and maintainable production code

Extensive experience with statistical analysis and machine learning frameworks, such as TensorFlow, PyTorch, or equivalent

Hands-on experience designing and deploying GenAI solutions, including Retrieval-Augmented Generation (RAG) systems, prompt engineering, and orchestration patterns

Demonstrated experience building conversational AI systems, such as chatbots, virtual assistants, or dialogue-driven applications, with a strong understanding of NLP, intent classification, entity extraction, and multi-turn conversation flows

Experience managing conversational context, memory, and state, including retrieval strategies, session management, and personalization techniques

Hands-on experience building deep learning systems, including model optimization, deployment, and performance tuning in production environments

Familiarity with agentic AI patterns and frameworks, such as LangChain, LangGraph, or equivalent tools for tool-use, workflow orchestration, and multi-step reasoning

Experience developing and operating distributed machine learning systems at scale, including training, inference, and serving

Experience with CI/CD pipelines, containerization, and orchestration, including tools such as Git and Kubernetes

Ability to collaborate with stakeholders across the organization to advocate for and implement trustworthy AI/ML practices

Strong communication skills, with experience presenting technical concepts, research findings, and product insights to technical and non-technical audiences

A research-driven, detail-oriented mindset, balanced with a bias toward execution and real-world impact

Commitment to engineering excellence, including automation, standards, and continuous improvement

A collaborative and ownership-oriented approach, with a history of clear communication and effective teamwork

A passion for lifelong learning, staying current with advances in AI/ML and GenAI, and engaging with the broader research and open-source communities

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 expert's 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 sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore] office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is everyone included. By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we're able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities 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.

Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 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.

Primary Location...Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India

Data Scientist/Senior Data Scientist - NLP GenAi

(IND) SENIOR, DATA SCIENTIST (GenAI, NLP)