StartupNWA
What you'll do
What youll 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. What youll bring
Experience in ML systems engineering
(especially 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.). Great to have
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 . Behavioral Qualifications
Full stack builders 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. Highlights of Full Stack + MLE Focus
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 About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. This is Walmart Global Tech, a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact. We are people-led and tech-empowered, and we train our team in the skillsets of the future. We have roles for those starting their career as well as those seeking a defining opportunity in tech. Here, you can kickstart a great career, gain new skills, and innovate at scale. Flexible, hybrid work
We use a hybrid working model that combines in-office collaboration with virtual work when not onsite. Our campuses serve as a hub to enhance collaboration and deliver on business needs. Benefits
Beyond compensation, we offer incentive awards for performance. Other benefits include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more. Equal Opportunity Statement
Walmart, Inc. is an Equal Opportunity Employer By Choice. We value diverse styles, experiences, identities, ideas, and opinions, welcoming all people. The full Job Description can be made available as part of the hiring process. For information about PTO and benefits, see One.Walmart. The annual salary range for this position is $90,000.00-$180,000.00 with potential additional compensation including bonuses and stock. Primary location: 805 S E Moberly Ln, Bentonville, AR 72712, United States of America. #J-18808-Ljbffr
What youll 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. What youll bring
Experience in ML systems engineering
(especially 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.). Great to have
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 . Behavioral Qualifications
Full stack builders 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. Highlights of Full Stack + MLE Focus
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 About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. This is Walmart Global Tech, a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact. We are people-led and tech-empowered, and we train our team in the skillsets of the future. We have roles for those starting their career as well as those seeking a defining opportunity in tech. Here, you can kickstart a great career, gain new skills, and innovate at scale. Flexible, hybrid work
We use a hybrid working model that combines in-office collaboration with virtual work when not onsite. Our campuses serve as a hub to enhance collaboration and deliver on business needs. Benefits
Beyond compensation, we offer incentive awards for performance. Other benefits include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more. Equal Opportunity Statement
Walmart, Inc. is an Equal Opportunity Employer By Choice. We value diverse styles, experiences, identities, ideas, and opinions, welcoming all people. The full Job Description can be made available as part of the hiring process. For information about PTO and benefits, see One.Walmart. The annual salary range for this position is $90,000.00-$180,000.00 with potential additional compensation including bonuses and stock. Primary location: 805 S E Moberly Ln, Bentonville, AR 72712, United States of America. #J-18808-Ljbffr