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Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalogue 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.
More about Marketplace: https://marketplace.walmart.com/
What You Will Do:
Staff Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.
Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows
Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
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
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Knowledge of the foundations of machine learning and statistics
Experience with web service standards and related patterns (REST, gRPC)
Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
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Familiar with distributed in-memory computing technologies
Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems
Strong Python coding and package development skills
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.
Able to refactor data science code and has collaborated with data scientists in developing ML solutions.
Experience playing the role of full-stack data scientist and taking solutions to production.
Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
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 .
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.
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
Global retail, e-commerce, and supply chain corporation.
Visit company websiteJobs and hiring trendsFull-time
Senior · 4+ years experience
Onsite
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