at Walmart
Full TimeAbout Team:
This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return & refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
What you'll do::
Senior Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.
o Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows
o Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
o Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
o Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
o Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation
o Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What you'll bring:
o Masters with > 2+ years of relevant experience Or Bachelors > 4+ years of relevant experience.
o Knowledge of the foundations of machine learning and statistics
o Experience with web service standards and related patterns (REST, gRPC)
o Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
o Familiar with distributed in-memory computing technologies
o Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems
o Strong Python coding and package development skills
o Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce; Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.
o Able to refactor data science code and has collaborated with data scientists in developing ML solutions.
o Experience playing the role of full-stack data scientist and taking solutions to production.
o Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
o Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
o Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, to different audiences. A team player with good work ethics
Mandatory Skills: Machine Learning, Big Data Skills, Python, R
Additional Qualifications: Good to have experience in areas such as computer vision, forecasting, real-time analytics, conversational AI assistants
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.
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 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 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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
