Job description

Position Summary... What you ll do... Application & Feature Delivery: •Execute scoped ML feature or model delivery through close collaboration with engineers, data scientists, and product teams. •Own implementation, iteration, testing, and support for assigned services, APIs, data pipelines, or ML model components. •Translate requirements into sustainable technical solutions, ensuring smooth hand-offs and alignment with platform and system objectives. ML Solution Design & Development: •Contribute to the design of robust, scalable ML systems that solve defined business and customer challenges. •Select and apply appropriate ML algorithms, frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost, Spark ML), and coding languages (Python, SQL, Java, C , R) based on performance, maintainability, and explainability needs. •Support the development of experimentation frameworks, model evaluation strategies, and feature engineering pipelines. Build & Deploy ML Systems: •Write clean, efficient, and production-ready code for ML applications. •Integrate external or custom ML models and APIs into enterprise systems. •Implement and maintain data ingestion, preprocessing, and transformation pipelines to ensure quality and reliability. •Apply MLOps practices—CI/CD for ML, automated retraining, model versioning, and telemetry—to ensure long-term performance and resilience. End-to-End ML Lifecycle Execution: •Execute all stages of the ML lifecycle: data sourcing, feature engineering, model training, testing, deployment, and monitoring. •Conduct rigorous model evaluation and validation using appropriate metrics to ensure accuracy, fairness, and compliance. •Monitor deployed models for drift, latency, and performance degradation, initiating retraining or updates when necessary. Technical Leadership & Collaboration: •Mentor junior engineers on coding standards, pipeline best practices, and model evaluation techniques. •Participate in architectural and technical discussions, contributing insights that improve solution scalability, maintainability, and compliance. •Promote knowledge sharing through code reviews, documentation, and collaborative workshops. Responsible & Secure AI Practices: •Engineer ML pipelines with a focus on data security, privacy, and compliance, following enterprise AI governance standards. •Apply prompt engineering, LLM evaluation, and fine-tuning practices for domain-specific GenAI applications. •Track and document experiments using tools like MLflow or Weights & Biases to ensure reproducibility and transparency. Technical Ownership: Demonstrates responsibility for deliverables, ensuring solutions meet quality standards and business objectives. Takes initiative to resolve issues and drive projects to completion. Technical Judgment: Applies sound reasoning to make informed technical decisions, balancing trade-offs and considering long-term impacts on system architecture and business goals. Change Agility: Adapts quickly to change, embraces new technologies, and understands the broader system context. Anticipates downstream effects of technical choices and integrates feedback to improve outcomes. Collaboration: Works effectively across teams, openly shares knowledge and communicates complex ideas clearly to both technical and non-technical stakeholders. Innovation & Continuous Improvement: Proactively seeks opportunities to enhance processes, tools, and products. Encourages experimentation and learning to drive ongoing improvement. Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by implementing related action plans; utilizing and supporting the Open Door Policy; and providing direction and guidance on applying these in executing business processes and practices. Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and promoting a belonging mindset in the workplace. Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and promoting a belonging mindset in workplace. Respect the Individual: Demonstrates and encourages respect for all; builds a high-performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace where all associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best team members. Respect the Individual: Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others’ contributions and accomplishments. Respect the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action. Act with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving). Act with Integrity: Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values. Act with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent. Serve our Customers and Members: Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members. Serve our Customers and Members: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team’s strategy. Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. 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 one.walmart.com . 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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ 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 3 years’ experience in software engineering, machine learning engineering, AI systems or related area. Option 2: 5 years’ experience in software engineering, machine learning engineering, AI systems 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 and 1 years' experience in software engineering, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience 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. Primary Location... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Requirements

Must-haves

Position Summary...
What you ll do... Application & Feature Delivery:
Execute scoped ML feature or model delivery through close collaboration with engineers, data scientists, and product teams.
Own implementation, iteration, testing, and support for assigned services, APIs, data pipelines, or ML model components.
Translate requirements into sustainable technical solutions, ensuring smooth hand-offs and alignment with platform and system objectives.
Contribute to the design of robust, scalable ML systems that solve defined business and customer challenges.
Support the development of experimentation frameworks, model evaluation strategies, and feature engineering pipelines.
Write clean, efficient, and production-ready code for ML applications.
Integrate external or custom ML models and APIs into enterprise systems.
Implement and maintain data ingestion, preprocessing, and transformation pipelines to ensure quality and reliability.
Apply MLOps practices—CI/CD for ML, automated retraining, model versioning, and telemetry—to ensure long-term performance and resilience.
Execute all stages of the ML lifecycle: data sourcing, feature engineering, model training, testing, deployment, and monitoring.
Conduct rigorous model evaluation and validation using appropriate metrics to ensure accuracy, fairness, and compliance.
Monitor deployed models for drift, latency, and performance degradation, initiating retraining or updates when necessary.
Mentor junior engineers on coding standards, pipeline best practices, and model evaluation techniques.
Participate in architectural and technical discussions, contributing insights that improve solution scalability, maintainability, and compliance.
Promote knowledge sharing through code reviews, documentation, and collaborative workshops.
Engineer ML pipelines with a focus on data security, privacy, and compliance, following enterprise AI governance standards.
Apply prompt engineering, LLM evaluation, and fine-tuning practices for domain-specific GenAI applications.
Track and document experiments using tools like MLflow or Weights & Biases to ensure reproducibility and transparency.
Demonstrates responsibility for deliverables, ensuring solutions meet quality standards and business objectives.
Takes initiative to resolve issues and drive projects to completion.
Applies sound reasoning to make informed technical decisions, balancing trade-offs and considering long-term impacts on system architecture and business goals.

Nice-to-haves

Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Application prep

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Keywords to mirror

mlpythonsqljavaci/cdaillmmachine learningaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave