Publix→
Sr Machine Learning Engineer - Labor Management… at Publix · Lakeland
ExperiencedHybridFull-timeLakeland, FL
Job Description
Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 260,000+ associates across 8 states.
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership.
Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix.
Join our Labor Management technology team to build innovative machine learning solutions that improve how we forecast labor needs and plan our retail workforce.
Location: Hybrid (Lakeland, FL): To support our hybrid work model, candidates must reside, or be willing to relocate, within a commutable distance of Lakeland, FL.
Work Model: Enjoy the best of both worlds - collaborate in person and innovate remotely.
Interview Process: Candidates selected to advance in the interview process will be required to participate in at least one onsite interview at our Lakeland, FL campus.
Why Join Us?
Your Impact
As a year-end bonus to associates, Publix issues one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year. This is calculated as a 13th month of pay in the Potential Annual Pay with Bonus line above.
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership.
Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix.
Join our Labor Management technology team to build innovative machine learning solutions that improve how we forecast labor needs and plan our retail workforce.
Location: Hybrid (Lakeland, FL): To support our hybrid work model, candidates must reside, or be willing to relocate, within a commutable distance of Lakeland, FL.
Work Model: Enjoy the best of both worlds - collaborate in person and innovate remotely.
Interview Process: Candidates selected to advance in the interview process will be required to participate in at least one onsite interview at our Lakeland, FL campus.
Why Join Us?
- Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.
- Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
- Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
- Empowered Culture: We value autonomy, creativity, and continuous learning - your ideas shape the future of technology in our organization.
Your Impact
- Develop and maintain machine learning and forecasting solutions using Python and SQL.
- Build scalable ML and data pipelines using Databricks, Spark/PySpark, and Delta Lake.
- Implement MLOps practices for model training, deployment, versioning, monitoring, and retraining.
- Use MLflow and related technologies to manage the machine learning lifecycle.
- Develop automated deployment processes using Databricks Asset Bundles (DABs) and CI/CD.
- Partner with data scientists, cloud engineers, and business teams to produce labor and demand forecasting models.
- Monitor model and pipeline performance and troubleshoot production issues.
- Apply software engineering practices to create reliable, maintainable, and testable ML solutions.
- 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.
- 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.
As a year-end bonus to associates, Publix issues one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year. This is calculated as a 13th month of pay in the Potential Annual Pay with Bonus line above.
Your application may have additional steps that you will need to complete in order to remain eligible for consideration. Please be sure to monitor your email, including your spam folder, on a daily basis for critical, time-sensitive emails that could require action within 24-48 hours.
Please do not use your Publix email address when applying. Once your application has been successfully submitted you will receive a confirmation email.
***Relocation/Household Good Shipment Allowance will NOT be provided.***