(usa) Senior, Software Engineer

Walmart · Retail · Bentonville, AR +1

Senior Software Engineer role focused on financial data for retail problems, utilizing Genai/LLM methods to build and deploy forecasting systems and agentic AI systems. The role involves collaborating with Finance teams, enhancing financial planning, and producing summaries. Requires experience in productionizing ML/Genai models, designing scalable applications, cloud platforms, CI/CD, testing frameworks, backend development, containerization, and monitoring.

What you'd actually do

  1. Lead a high-performing team to build Genai, Agentic AI systems.
  2. Build cross-functional partnerships to drive collaborative success.
  3. Interface with users to collect requirement and feedback.

Skills

Required

  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
  • Experience in productionizing Data Science, ML and Genai Models
  • Experience in designing scalable ML/Genai applications incorporating Data Pipelines, Model Training, Inferencing, Versioning and Monitoring.
  • Experience in cloud platforms such as GCP and Azure.
  • Experience in implementing CI/CD pipelines using Jenkins and Devsecops processes using Code Quality Inspection tools such as SonarQube and Synk.
  • Experience in creating Unit, End to End, Functional and Regression Testing Frameworks.
  • Experience in Backend development which includes API development using Fast API/Flask, Cache using Redis, Asynchronous Job processing using Celery, and Message Brokers using RabbitMQ/Kafka/Google Pub/Sub.
  • Experience containerizing application using Docker and Orchestration using Airflow and Kubernetes.
  • Hands-on experience with application monitoring and observability using Grafana, Prometheus, and Splunk to ensure reliability, performance, and proactive issue detection.
  • Practitioner of Agile (Scrum) Methodology.

Nice to have

  • Experience in Front End technologies such as React.js
  • Experience with Big Data processing and feature engineering with spark.

What the JD emphasized

  • Experience in productionizing Data Science, ML and Genai Models
  • Experience in designing scalable ML/Genai applications incorporating Data Pipelines, Model Training, Inferencing, Versioning and Monitoring.

Other signals

  • Genai/LLM methods and architectures
  • forecasting systems
  • Generative AI (Genai) to produce concise, insightful summaries
  • Genai, Agentic AI systems