Lead Data and Machine Learning Engineer

Description-Please note, this is a hybrid position requiring 8 days per month on-site in Lakeland, FL.Welcome to Publix Technology, the award-winning technical group for Publix Super Markets, Inc., the largest employee-owned company in the nation. Our technology teams of 2100+ associates provide innovative, modern solutions to nearly 1400 retail stores and 200,000+ internal team members across 8 states. We offer positions at all levels – summer internships, individual contributor roles, to technical leadership across a broad range of technical disciplines. So, whether you are interested in IT security, platform engineering, architecture, software development, or infrastructure – we have a career path for you! See for yourself why Publix Super Markets, Inc. is a constant on Fortune Magazine’s Best Companies to Work list.You will be working on the Data and AI Services team to help drive AI innovation, enablement, and insights at Publix. You will build solutions using Large Language Models, AI services, and machine learning and you will be working with application teams to design and implement AI services while meeting Responsible AI standards and best practices. Additionally, you will build evaluation flows and measures to ensure AI services are grounded and effective - leading large-scale AI/ML efforts while using agile tools and methodologies.Responsibilities:Design, develop, and deploy AI solutions and data pipelines.Manage and optimize the effectiveness, latency, and reliability of LLMs in cloud environments.Collaborate with application development teams to ensure AI functionality is implemented according to standards and best practices.Contribute to AI and ML development standards and best practices.Lead project efforts and act as the SME of assigned systems.Mentor, lead, and train other engineers through knowledge transfer, problem resolution, and peer code reviews.Required QualificationsBachelor's degree in computer science or a related analytical field or equivalent experience.7+ years’ professional working experience building high-performance, large-scale, and scalable software systems.5+ years' experience designing data solutions, modeling data, and developing ETL pipelines.5+ years' experience in data cataloging and classification, data quality, metadata management, data lifecycle, and Big Data administration.Preferred QualificationsExperience with Machine Learning techniques and tools.Experience creating Power BI dashboards and reports, including creating custom calculations using DAX.Experience administering cloud platforms such as Azure Data Lake, Databricks, Snowflake, and Power BI.Programming experience in a modern language (ideally Python).Experience automating deployments with DevOps pipelines using YML or Terraform.Experience supporting production applications.

#J-18808-Ljbffr