Senior AI/ML Engineer with Walmart Codebase || Remote

Title: Senior AI/ML Engineer with Walmart CodebaseLocation: RemoteJob Type: Contract/FulltimeSenior 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.Education• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.