Senior, Software Engineer

Responsibilities

• Design scalable, low-latency services to host models; productionize prototypes on the cloud, including data pipelines, training ; inference pipelines, and pre ; post-processing routines
• Build, tune, and optimize machine learning models; collaborate with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results
• Develop and optimize data pipelines to collect, consolidate, and normalize data to feed to machine learning models for offline evaluation and real-time execution
• Utilize the broad and deep knowledge of ML and Software Engineering to contribute to the roadmap of Walmarts core machine learning capabilities
• Create monitoring dashboards; perform latency tuning of deep learning models, scaling solutions to enterprise level; investigate and resolve performance issues
• Run experiments to compare models, features, and hyperparameters; utilize A/B testing and continuous monitoring to validate and adjust models
• Possess excellent communication skills to be able to communicate with peers and stakeholders
• Enjoy spending your day writing ; reviewing code and also participate ; lead design discussions

Requirements

• Bachelors Degree in Computer Science or related field and 7 years of experience in software engineering or Masters Degree in Computer Science or related field and 4 years of experience in software engineering
• 4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms
• 4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest
• 4 years of experience in architecting ML solutions given an abstract business problem
• 2 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud
• 2 years of experience building training and inference pipelines
• Hands on experience with building data pipeline with Spark, Hadoop, Redshift and/or Hive
• Experience with GCP and Airflow is a plus
• Prefer experience with building Machine Learning models and pipelines related to personalization
• About Walmart Global Tech
• Flexible, hybrid work:

Benefits

Additional Information

Position Summary... Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico and South Africa to name a few. What you'll do... International Recommendations Platform is a multi-tenant framework that powers the personalization experiences for Mexico, Canada, and other Walmart International sites. The team drives innovation in Machine Learning to provide personalized results for our customers and drive business KPIs.

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