• Collaborate with a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions 

• Work in an Agile practice in a highly collaborative environment with a multidisciplinary team. 

• Design end-to-end system architecture for GenAI/AI/ML and data intensive applications 

• Mentor team of data scientists to develop their skills and business understanding 

• Develop and deploy production-grade real-time/batch machine learning services 

• Work with product managers to design user journeys, feedback loop and analyze user telemetry 

• Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions 

• Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions 

• Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice   

What you’ll bring: 

• You have 9+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications 

• You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area 

• You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. 

• You have extensive experience in production-grade python code development. 

• You can execute our trustworthy AI/ML practice with stakeholders across the enterprise. 

• You can effectively mentor junior data scientists and guide them through ambiguous technical problems on the project 

• You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. 

• You have extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. 

• You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems 

• You have experience in developing chatbots/ NLP/ recommendation-engine systems 

• You are excited about building distributed machine learning systems at scale in production   

• You are familiar with version control using Git in collaboration settings  

• You have experience at writing high-performing production-quality code in Python  

• You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes  

• You are research driven, thorough and detail oriented 

• You believe in the importance of establishing work standards and leveraging automations   

• You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms   

• You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others  

About Global Tech 

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption. 

Ways of Working 

Flexible, hybrid work 

We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. 

Benefits    

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include many best-in-class benefits like maternity and parental leave, PTO, health benefits, and more.