Data Analysis Intern

Agentic Machines builds autonomous AI agents that move beyond passive dashboards to actively manage modern supply chains. These agents connect directly to ERP, WMS, and vendor systems to forecast demand, prevent stockouts, and trigger automated replenishment. The company focuses on turning complex supply chain data into real-time, automated execution that protects operational performance and margins. Team members work at the intersection of AI, software engineering, and logistics to deliver reliable, production-grade solutions for mission-critical environments. Key Responsibilities: - Prepare, clean, and explore structured and unstructured datasets. - Train and evaluate machine-learning models for forecasting, classification, ranking, or anomaly detection. - Assist with prototyping LLM, RAG, and agent-based workflows. - Design experiments and compare models using clearly defined evaluation metrics. - Help build reusable data-processing and model-evaluation pipelines. - Analyze model errors, document findings, and recommend improvements. - Read and summarize relevant research papers and reproduce useful techniques. - Collaborate with engineers to integrate successful prototypes into product workflows.