
(USA) Software Engineer III
- Bentonville, AR
- $90,000-180,000 per year
- Permanent
- Full-time
- 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
- Multiple health plan options, including vision & dental plans for you & dependents
- Financial benefits including 401(k), stock purchase plans, life insurance and more
- Associate discounts in-store and online
- Education assistance for Associate and dependents
- Parental Leave
- Pay during military service
- Paid Time off - to include vacation, sick, parental
- Short-term and long-term disability for when you can't work because of injury, illness, or childbirth