TalTeam
Senior Software Engineer - Walmart Codebase Experience
TalTeam, Virginia Beach, Virginia, us, 23450
Senior 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 platforms. 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.
**Talteam Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.**
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 platforms. 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.
**Talteam Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.**