Teams at NEORIS

Design, train, evaluate, and deploy predictive transportation and delivery ML models (primarily XGBoost). Perform EDA, feature engineering, experiment design, and statistical evaluation. Build production ML pipelines and MLOps practices on Google Vertex AI. Collaborate with data engineering and supply chain stakeholders to translate operational needs into scalable solutions.

Provide Level 2/3 AMS support and SAP EWM implementation work: diagnose and resolve WMS incidents, lead improvements and small developments, coordinate cross-functional teams, perform RCA, manage transports and testing (unit, integration, UAT), support releases and post-go-live stabilization, and document system configurations and procedures.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.