About the team
Ever wondered how Walmart is achieving everyday low price and being competitive in retail space. Our Applied AI Market Intelligence team (MINT) is building best in class cutting edge solution powered by innovation in LLMs and computer vision models leveraging state of the art architectures and methodologies with ample opportunity for innovation and experiments.
We in MINT are building a state-of-the-art SaaS platform encompassing the best of engineering and data science practices
MINT team in Walmart seeks to empower functional leaders in merchandising/marketplace, and product managers, developers, data scientists and data analysts through data-led services that they can leverage for customers and sellers.
Our strategy is to win by enhancing business outcomes in two ways:
1) Distribution of high-quality knowledge and
2) Automated decision-making.
We seek to derive useful retail insights by: Building predictive modelling triggers, which optimize relevant utility or risk functions. Establishing an ecosystem which supports rapid iterative experiments enabling us to validate and productize hypothesis quickly.
These capabilities will help drive customer satisfaction through catalogue growth, easy discoverability of items at low cost, and through pricing automation to make Walmart the retailer of choice.
What You’ll Do
Design and scale ML solutions using advanced techniques in NLP, computer vision, and deep learning to solve complex retail problems at Walmart scale.
Collaborate cross-functionally with engineering, product, and science teams to build impactful, production-ready models and integrate them into business processes.
Drive innovation through rapid experimentation, PoC development, and continuous improvement using the latest research and technologies.
Measure and optimize performance by defining model metrics, tracking business impact, and applying statistical methodologies for large-scale data analysis.
Contribute to the AI community by publishing research, presenting at top-tier conferences, and representing Walmart at external forums top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT
Participate and speak at various external forums such as research conferences and technical summits.
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What You’ll bring
Educational Background: Bachelor’s (2+ years) or Master’s (1+ years) in STEM with relevant experience in data science and machine learning.
Skills Expected from Work Experince:
Strong foundation in ML concepts, with hands-on experience in NLP, computer vision, and transformer-based models like BERT, ViT, and LLMs; skilled in fine-tuning and applying these models to business problems.
Experience in analysing complex problems and translating them to data science solutions with due attention to computational efficiency and scale.
Knowledge in statistical methodologies to be able to measure metrics of large dataset and leveraging statistical based sample methods.
Worked with at least one mainstream machine learning framework such as Tensor Flow and PyTorch
Experience with debugging skills, RCA and stakeholder management.
Good to have:
Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
Working Experience with SQL and relational databases
Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL) / Spark / H20 is good to have
Domain Knowledge: Retail eCommerce
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.
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 a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities 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.
Minimum Qualifications...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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India