at Walmart
Full TimeAbout Team:
The EBS People Technology organization supports the successful deployment and adoption of new People technology across the enterprise. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.
Enterprise Business Services (EBS) @ IDC Bangalore and Chennai in India are focused on data driven, highly optimized products and implementations in the areas of Finance, Procurement, Human Resources and Retail business functions for multiple Walmart markets with open stack technologies and other ERP tools.
What you'll do:
This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals. Some of this role’s key responsibilities include, but not limited to:
Lead 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
Drive 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
Manage and 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 13+ 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 can execute our trustworthy AI/ML practice with stakeholders across the enterprise.
You can effectively manage and coach junior data scientists
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 thorough, meticulous 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.
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.
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 to live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
