Sr Machine Learning Engineer - Labor Management Forecasting (Hybrid)

Publix
  • Lakeland, FL
  • Autofill and Review
2 days ago

Job Description




Required Qualifications
  • Bachelor’s degree in computer science or another analytical discipline, or equivalent experience. 
  • 5+ years of software, data, or machine learning engineering experience, including strong experience developing production solutions with Python and SQL.
  • 2+ years of experience with Databricks and Spark/PySpark. 
  • 2+ years of experience deploying and supporting machine learning models into an enterprise production environment. 
  • Experience building data or ML pipelines involving large datasets and Declarative Asset Bundles (DABs) 
  • Experience with MLflow, Delta Lake, and Azure. 
  • Experience with time-series and demand-based forecasting models. 



Preferred Qualifications
  •  
  • Experience with workforce, or labor forecasting models. 
  • Experience supporting ML solutions in retail, supply chain, workforce management, logistics, or other operational environments. 
  • Knowledge of MLOps, CI/CD, automated testing, model monitoring, and version control. 
  •  


Publix Technology

Numbers & Facts

LocationLakeland, FL

Skills

  • Analysis Skillsunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Managementunmatched
  • Demand Forecasting/Planningunmatched
  • Engineeringunmatched
  • Forecastingunmatched
  • Logisticsunmatched
  • Machine Learningunmatched
  • Microsoft Windows Azureunmatched
  • Production Systemsunmatched
  • Python Programming/Scripting Languageunmatched
  • Retailunmatched
  • SQL (Structured Query Language)unmatched
  • Source Code/Configuration Management (SCM)unmatched
  • Supply Chain Managementunmatched
  • Test Automationunmatched
  • Training Data Setsunmatched
  • Workforce Managementunmatched

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