Senior Data Scientist (ML Infra)

You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, bing, facebook, pinterest, etc.) to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel Wal-Mart customers.

As a Machine Learning Engineer, you will be responsible for

• Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionisation to visualization.

• Building and maintaining a robust, scalable machine learning infrastructure for developing, versioning and deploying machine learning models

• Developing, deploying, and maintaining high-quality web-based dashboard systems to extract visual insights from an ever-growing dataset, monitor machine learning models etc.

• Building and deploying scalable machine learning API services

• Building, testing and continuous integrating workflows for an ever-growing ML research codebase

• Managing public cloud services, utilizing public cloud tools and resources efficiently to scale our storage and computation in Google Cloud Platform

• Proficiency in at least one programming language, such as python, Java, C++

• Good understanding of data structures and algorithms

• Strong knowledge and experience in big-data techniques, such as spark, hive, spark-sql, noSQL, Big Query, etc.

• Knowledge and experience in Linux, public cloud computing, docker, kubernetes

• Experience in REST API service development

• Experience in workflow automation for big-data pipelines is a plus

• Knowledge in angularJS, d3-js is a plus

• Ph.D. in a related field (CS, EE, Engineering) or

• MS in related fields with 2+ years of experience (edited)