- Professional
- Bureau à Bentonville
Position Summary...
What you'll do...
What you’ll do:- Develop, and deploy scalable, production-grade time series forecasting systems using advanced global models to support high-volume retail and e-commerce workloads.
- Build and orchestrate end-to-end ML pipelines for data ingestion, training, evaluation, deployment, and monitoring, leveraging workflow managers such as Airflow, Astronomer, or Kubeflow.
- Engineer robust backend services and RESTful APIs to serve ML models and analytics, ensuring secure, reliable, and low-latency data access for internal and external stakeholders.
- Implement and automate CI/CD pipelines for code, models, and infrastructure, applying best practices for version control, testing, code review, and continuous integration.
- Integrate generative AI and NLP-based analytics assistants into both backend and frontend workflows for intelligent querying, reporting, and data synthesis.
- Utilize distributed compute frameworks (Spark, Ray, Dask) for large-scale data processing and model training, ensuring scalable and efficient resource use.
- Develop and maintain cloud-native microservices and infrastructure (Docker, Kubernetes, Terraform, GCP, Azure) for robust deployment, scaling, and monitoring of ML and web applications.
- Collaborate closely with cross-functional teams (software engineers, data scientists, product, business) to gather requirements, design end-to-end solutions, and deliver value through technology.
- Experience in ML systems engineering (esp. time series and sequence models) and full stack software development.
- Proven ability in backend engineering (Python, FastAPI, Flask, Node.js, or similar), API design, and microservice architecture.
- Strong grasp of cloud platforms (GCP, Azure, or AWS), containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).
- Experience implementing CI/CD, DevOps best practices, monitoring, and logging for both ML and web services.
- Experienced in distributed computing and processing big data for feature engineering, model training, and inference.
- Hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and MLOps tools (MLflow, Vertex AI, Sagemaker, etc.).
- Experience with retrieval-augmented generation (RAG), LLM fine-tuning, and large-scale NLP pipelines.
- Expertise in real-time data processing, WebSockets, and serverless architectures.
- Domain experience in retail, e-commerce, or financial analytics.
- Full stack builder’s mindset—ownership across the ML, backend, and frontend stack.
- Strong collaborative skills, with the ability to communicate technical ideas to non-technical stakeholders and drive end-to-end delivery.
- Adaptability, curiosity, and commitment to best engineering practices.
- Production ML systems from data to user interface
- API and microservice development for scalable ML delivery
- Cloud-native deployment, automation, and MLOps
- Cross-functional ownership from infrastructure to end-user experience
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.Option 2: 4 years’ experience in software engineering or related area.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Masters: Computer Science