(IND) STAFF, DATA SCIENTIST

8+ years of professional experience building and operating large-scale AI/ML systems, with significant recent depth in GenAI and/or agentic AI in production

Master's or PhD in computer science, machine learning, statistics, mathematics, engineering, or a related quantitative field, or equivalent industry experience

Demonstrated track record of leading and shipping flagship AI/ML or GenAI products at scale, with measurable business impact

Expert-level GenAI experience: production RAG at scale, advanced prompt strategies, fine-tuning (SFT, LoRA/QLoRA, DPO), distillation, evaluation, and agentic orchestration patterns

Deep, hands-on experience designing multi-agent and agentic AI systems using LangChain, LangGraph, or equivalents — including planning, tool-use, long-term memory, and stateful multi-turn workflows

Proven experience leading LLM/GenAI evaluation and responsible AI efforts: offline and online evaluation, red-teaming, guardrails, fairness, privacy, and compliance with relevant regulations

Experience setting technical strategy for GenAI/agentic AI initiatives and influencing roadmaps across multiple teams, including partnership with director- and VP-level stakeholders

Mastery of foundational machine learning, statistics, deep learning, and NLP/LLMs, with strong working knowledge of at least one additional domain (recommendation/ranking, computer vision, time-series, causal inference, or reinforcement learning)

Deep, hands-on experience with advanced modeling techniques on complex, multi-source data — including unstructured text, streaming data, AutoML, and continuous/online learning

Expert-level proficiency in Python and modern ML/DL frameworks (PyTorch, TensorFlow, JAX, Hugging Face Transformers)

Strong background in LLMOps/MLOps: feature stores, model registries, training/serving pipelines, monitoring, drift detection, online experimentation, and governance

Strong systems thinking — scalability, reliability, latency, cost, and safety tradeoffs in complex AI/ML systems

Working knowledge of SQL and large-scale data processing tools such as Spark, Hive, BigQuery, or equivalents

Proven ability to mentor mid-senior individual contributors and grow junior talent into senior roles

Experience setting and upholding the technical bar across teams — reference architectures, standards, and design review practices

Excellent written and verbal communication, with the ability to translate complex technical tradeoffs into clear narratives for technical and executive audiences

Bias for action paired with a rigorous, principled, research-informed approach

Strong collaborative and ownership-oriented mindset, with a history of inclusive technical leadership and effective cross-functional partnership

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.

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.

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.

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.