JOB DESCRIPTION Engineer - Data Engineering The Big Picture Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global
JOB DESCRIPTION Job Title: Senior Data Engineer – (Cyber Security Analytics, Intelligence & AI) Location: Sysco LABS – Hybrid About the Role This position is with the Cyber Analytics & Business Intelligence program at Sysco where you’ll play
Key Responsibilities Assist in the development, testing, and maintenance of software applications Support deployment and monitoring of applications in cloud-based environments Collaborate with engineering teams (Dev/SRE) on feature development and debugging tasks Participate in code reviews,
Key Responsibilities Assist in the development, testing, and maintenance of software applications Support deployment and monitoring of applications in cloud-based environments Perform Reliability tests and troubleshooting Develop devops lifecycle tasks and automation Contribute to containerized development
JOB DESCRIPTION Technical Lead - Identity Lifecycle Management The Big Picture Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and
JOB DESCRIPTION Senior Technical Lead - Identity Lifecycle Management The Big Picture Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list
JOB DESCRIPTION Associate Software Architect The Big Picture Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global
Key Responsibilities Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML), Deep Learning (DL), Generative AI, and Agentic AI use cases Lead the end-to-end model lifecycle management, including data ingestion, feature engineering,
Key Responsibilities Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal
Key Responsibilities Define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions, ensuring alignment with organizational strategy and technology roadmaps Lead the design of scalable, secure, and high-performance AI platforms, covering data, model, orchestration,
Key Responsibilities Assist in the development, testing, and maintenance of software applications Support deployment and monitoring of applications in cloud-based environments Collaborate with engineering teams (Dev/SRE) on feature development and debugging tasks Participate in code reviews,