Sales, logistics, and AI platform for Latin America's largest beverage distributor
Ambev Tech builds internal software for the sales and logistics operations of a major regional beverage company, operating across Brazil, Latin America, and Europe. The stack reveals a data-engineering-forward organization: Python + SQL Server + Redis for core systems, paired with a full ML toolkit (TensorFlow, PyTorch, scikit-learn, XGBoost, Databricks, MLflow) and modern cloud infrastructure (Azure, Kubernetes, Docker). Active adoption of SAP S/4HANA alongside ongoing legacy-system modernization signals a major platform transformation, while hiring leans toward data and engineering roles at mid-to-senior levels—consistent with their published focus on AI product development and network optimization.
Ambev Tech is the technology division of Brazil's largest beverage distributor, headquartered in Blumenau, SC, with teams across the country, Latin America, and Europe. The organization develops internal platforms and AI systems to modernize sales processes, warehouse operations, and distribution logistics. Current strategic initiatives include a SAP S/4HANA implementation, end-to-end AI product development, network optimization, and warehouse capacity planning. The workforce spans 1,001–5,000 employees across data, engineering, product, and operations functions, with hiring concentrated in Brazil.
Core: Python, SQL Server, Redis, Celery, RabbitMQ, Azure (cloud), Docker, Kubernetes. ML/data: Databricks, TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM, CatBoost, MLflow. Currently adopting SAP S/4HANA.
SAP S/4HANA migration, end-to-end AI product development, global process transformation, network optimization, unified capacity database, and model calibration. Projects focus on modernizing sales, logistics, and warehouse operations.
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