Senior, Data Scientist (genai, Nlp)
- Walmart
- 6 - 11 years
- Bengaluru
- 3 months ago
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Job Description
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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: WalmartLocation(s): Bengaluru+ View Contact
Keyskills: Computer science System architecture Automation Machine learning Continuous improvement Open source Information technology Monitoring Analytics Python
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