[New Job Opening] Machine Learning Engineer (Data Science) job Vacancy in Bengaluru, Karnataka

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Job Details:
Position Name :
Machine Learning Engineer (Data Science)
Location:
Bengaluru, Karnataka
Job ID :
018f53226d0e2847
Description :
We are looking for Full-Stack Data Scientists to join us in building world class solutions at Walmart scale. You will play a key role in developing, automating, scaling, and implementing solutions that tackle diverse business problems. There are ample opportunities to enrich your knowledge and skillset that will accelerate your ML Engineering career.
About Walmart Global Tech.
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
Team and Position Summary:
Data Strategy & Insights (DSI)
This is the team building the data foundation infrastructure, core platform and services that drive Walmart US business. The objective of the DSI organization is to build the best in class engineering and data science solutions that power the best shopper experience for our customers, 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.
The Machine Learning Engineer will play a crucial technical role in developing and maintaining scalable end-to-end data science solutions and deliver outstanding business outcomes for problems across Walmart. This is a role that combines machine learning solutioning, technical strength, product focus and business understanding. Our team works closely with Data Scientists, App Developers and Product teams to architect the ML system, deploy ML models as real-time inferencing web services and/or batch inference jobs, scale the services to meet production needs, monitor the service health and predictive performance, and re-train the models as needed.
Position Responsibilities:
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.
Position Requirements:
Preferred qualifications:
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
Years Of Experience: 3 to 6 Years
Education/Qualification: Any Graduate/PG
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.
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