Senior, Software Engineer, ML Ops

Position Summary...

What you'll do...

We are seeking an ML Ops Engineer to design, build, and maintain machine learning models and pipelines, as well as ensure the smooth operation of our ML infrastructure. The ideal candidate will have experience with popular ML frameworks and languages, and be able to work with cross-functional teams to integrate ML models with large language models (LLMs) and other AI/ML technologies.

About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

• Design and implement ML models and pipelines using popular frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Collaborate with data scientists to develop and deploy ML models, ensuring seamless integration with existing infrastructure
• Develop and maintain ML infrastructure, including data pipelines, data storage, and data processing systems
• Ensure the scalability and reliability of ML models and pipelines, troubleshooting issues as needed
• Work with cross-functional teams to integrate ML models with large language models (LLMs) and other AI/ML technologies

What you'll bring:

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years of experience in ML Ops, data engineering, or a related field
• Strong programming skills in Python, Java, or C++
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Experience with LLMs and natural language processing (NLP) techniques
• Strong understanding of data pipelines, data storage, and data processing systems
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work p