(IND) STAFF, DATA SCIENTIST (MLE)
Walmart Global Tech
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Descrizione del lavoro
Walmart Global Tech is seeking a Staff Machine Learning Engineer to build scalable end-to-end data science solutions for our data products. You will work closely with data engineers and data analysts to implement ML and statistics-driven data quality and monitoring workflows.
You will scale advanced algorithms on large data and own the MLOps lifecycle from data monitoring to production-ready model monitoring, collaborating with stakeholders to deploy holistic ML solutions.
Competenze
- Foundations of ML and statistics knowledge required.
- Experience with web service patterns (REST, gRPC).
- Architecting solutions with CI/CD mindset.
- Distributed in-memory computing familiarity.
- Strong Python coding and package development skills.
- Experience with Big Data analytics using Hadoop/Spark/MapReduce; SQL/Hive/Spark proficiency.
- Refactoring data science code and production-ready experience.
- Full-stack data scientist capability.
- Metrics instrumentation for real-time monitoring.
Mansioni
- Build scalable end-to-end data science solutions for data products.
- Collaborate with data engineers and data analysts on ML workflows.
- Scale ML algorithms and statistical models on large datasets.
- Own MLOps lifecycle including model monitoring and refactoring.
- Advise stakeholders to design, scale, and deploy ML solutions.
- Stay updated with ML research and industry best practices.
Conoscenze
Formazione
Strumenti
Descrizione del lavoro
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.
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.
https://marketplace.walmart.com/
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.
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. Ateam 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.
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.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers.
This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
- 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.
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 "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.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
Option 3: 6 years' experience in an analytics or related field.
Primary Location...Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India
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