Cyber Security jobs across the world
Copyright 2024 All Rights Reserved by YipCraft
We will contibute 1% of your purchase to remove CO2 from the atmosphere.
Cyber Security jobs across the world
Copyright 2024 All Rights Reserved by YipCraft
We will contibute 1% of your purchase to remove CO2 from the atmosphere.
About 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 Engineeris responsible forbuildingscalableend-to-enddata science solutionsfor ourdata 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 byscalingadvanced Machine Learning algorithms and complex statistical models on large volumes of data
o Own theMLOpslifecycle, from data monitoring to refactoringdata science code tobuilding robust model monitoring workflows formodel lifecycle management
o Demonstratestrong thought-leadership and consult with product and business stakeholders to build, scale and deploy holisticmachine learning solutionsafter successful prototyping.
o Followindustry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation
o Promoteand support company policies, procedures, mission, values, and standards of ethics and integrity.
What you'll bring:
o Masters with > 5+ years of relevant experience Or Bachelors > 7+ 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 refactordata science code andhas 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,Engineeringor 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 inareas such ascomputer vision,forecasting, real-timeanalytics,conversationalAIassistants
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- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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.