5 min
As of October 31, 2018, Walmart has 11,277 stores and clubs in 27 countries, operating under 55 different names and is also the world’s single largest private employer (2.3 million).
With more than 230 million customers across the world, Walmart engineers face an uphill task to deliver services in real time to satisfy their loyal customers. Walmart also has its own R&D department in the name of Walmart labs, which develops and discovers cutting edge technology to be deployed for enhancing user experience. At Walmart Labs, data science methodology is being actively applied in various supply chain arenas including, order/shipment preparation, transportation, last mile routing/scheduling, and last mile order pick up.
With e-commerce giants like Flipkart and other Indian AI startups under its belt, Walmart has gained a firm footing in India and is determined to provide Indian specific solutions.
Here are list of 5 machine learning opportunities where you can be part of building cutting edge technologies:
Data Scientist
Data scientists are required to work with Sam’s Club leadership to build a strategy and execution plan that improves samsclub.com site performance through large data analytics, rigorous A/B testing, data mining, various financial analysis etc. Qualifications- Bachelor's degree or Master’s degree in a quantitative field like engineering / statistics / math / computer science / information technology
- Python or R or SQL, HQL and Spark
- Project works / course works around multi-dimensional DBs / Unstructured data
- Knowledge of statistics theory
- Presentation skills
Software Engineer III
The position of software engineer entails designing, building, testing and deploying cutting edge solutions at scale, impacting millions of customers worldwide to drive value from data at Walmart Scale. And, also engage with product management and business to drive the agenda, set your priorities and deliver awesome product features to keep the platform ahead of market scenarios. Qualifications- Bachelor's/Master's Degree with 3-7 yrs. of experience in Computer Science.
- Java, Hadoop, Hive, Spark, Spark ML
- Hands-on knowledge of docker container, container orchestration system like Kubernetes, docker swarm, marathon etc
- Knowledge of machine learning life cycle, training and deployment of machine learning models
- Knowledge of jupyter, zeppelin notebooks
- SOA (Service Oriented Architecture), RESTful web services
- Experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system
- A self-motivated learner and builder with strong customer focus and obsession with quality
Senior Big Data Developer
As part of the Customer Analytics Team @Walmart Labs, a big data developer will be a part of development team that builds products at Walmart scale, which is the foundation of Customer Analytics across Walmart. Qualifications- Bachelor's Degree and 7+ yrs. of experience or Master’s Degree with 6+ years of experience in Computer Science or related field
- Expertise in Big Data Ecosystem with deep experience in Hadoop, Spark, Storm, Cassandra, NoSQL etc.
- Expertise in MPP architecture and knowledge of MPP engine (Spark, Impala etc)
- Experience in building scalable/highly available distributed systems in production
- Understanding of stream processing with expert knowledge on Kafka and either Spark streaming or Storm
- Experience with SOA
- Knowledge of graph database neo4j, Titan is definitely a plus
- Knowledge of Software Engineering best practices with experience on implementing CI/CD, Log aggregation/Monitoring/alerting for production system
GPU ML Staff Engineer
As part of the GPU CoE team under Machine Learning Technologies group @Walmart Labs, the engineer will have the opportunity to make a difference by being a part of the GPU Center of Excellence at Walmart that provides cutting edge GPU computing technologies enabled via the Machine Learning Platform as a service for Data Scientists across Walmart. Qualifications- Bachelor's/Master's Degree with 10+ yrs. of relevant experience in Computer Science
- Strong computer science fundamentals in algorithms, data structures, databases, operating systems, etc.
- C/C++
- Knowledge of CUDA and parallel processing paradigms.
- Knowledge of machine learning life cycle, training and deployment of machine learning models
- Python or R
- Hadoop, Hive, Spark
- Knowledge of jupyter, zeppelin notebooks is a plus
- Familiarity with Linux and scripting languages (Shell, Python/PHP) a plus
- Knowledge of docker container and container orchestration system like Kubernetes a plus
ML Staff Engineer
One of the key challenging aspects of the job is to help our data science customers build ML solutions at Walmart scale. Qualifications- Bachelor's/Master's Degree with 10+ yrs. of relevant experience in Computer Science
- Strong computer science fundamentals in algorithms, data structures, databases, operating systems, etc
- Experience in Java, Hadoop, Hive, Spark
- Knowledge of machine learning life cycle, training and deployment of machine learning models
- Knowledge of jupyter, zeppelin notebooks
- Experience in building scalable/highly available distributed systems in production
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