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TalentLynk
TalentLynk

Senior Software Engineer – Walmart Codebase

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Software Development
Back-End
AI
+36

Visa

U.S. visa required

Contract role
2 days ago
Apply now

About the Role

Senior Software Engineer who brings deep knowledge of Walmart’s engineering ecosystem along with hands-on AI/ML expertise. This role blends robust backend development with data-driven intelligence to power scalable, personalized retail experiences.

Responsibilities

  • Architect, build, and deploy AI-enhanced features such as product recommendations, intelligent search, and dynamic pricing integrated with Walmart’s existing platfoJrms.
  • Design and integrate ML models into backend microservices and frontend experiences, ensuring real-time performance and scalability.
  • Collaborate with cross-functional teams, including data science, MLOps, and retail analytics, to drive customer-centric solutions.
  • Leverage internal Walmart tools and frameworks for model training, deployment, and monitoring within the company’s CI/CD pipeline.
  • Maintain code quality and AI system reliability using test automation, canary deployments, and continuous monitoring.
  • Participate in AI/ML experimentation frameworks, A/B testing, and inference optimization at scale.

Required Skills

  • Experience working with Walmart codebase or previous roles at Walmart Labs / Walmart Global Tech.
  • Proficient in Java, Node.js, React/Redux, Spring Boot, and Walmart’s microservice architecture.
  • Strong applied knowledge in AI/ML with tools like TensorFlow, PyTorch, scikit-learn, or XGBoost.
  • Experience deploying models using REST APIs, ONNX, or TensorFlow Serving.
  • Hands-on with data pipelines, feature engineering, and training data curation using Python, Pandas, Spark, or BigQuery.
  • Familiarity with AI/ML use cases in retail: recommendations, customer segmentation, demand forecasting, and computer vision for product tagging or in-store analytics.
  • Cloud experience with GCP, AWS SageMaker, or internal Walmart AI infrastructure.
  • Understanding of Walmart's AI deployment practices, CI/CD tools (e.g., OneOps, Jenkins), and experimentation platforms.

About TalentLynk

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