Role: Senior AI/ML Engineer — Inventory Forecasting & Decision Systems
Hours: 9am - 6pm Eastern Time (Remote)
USD Salary: $20-$40/HR
We are seeking a highly skilled Senior AI/ML Engineer to drive the development of advanced inventory forecasting and decision systems. This is a senior, individual-contributor role with direct business impact, idóneo for a self-directed engineer comfortable navigating ambiguity and building end-to-end ML solutions.
Responsibilities
- Build and improve inventory demand forecasting models using ML and statistical methods.
- Own ML models end-to-end : data collection → feature engineering → training → deployment → monitoring → iteration.
- Develop decision systems that support inventory planning, pricing, and demand decisions.
- Build and maintain data pipelines and API integrations for external and internal data sources.
- Work with messy real-world data to ensure model reliability through rigorous validation and testing.
- Implement LLM/AI-agent workflows to translate domain logic into automated processes.




- Operate independently in a small team, setting priorities, unblocking challenges, and communicating tradeoffs clearly.

Requirements
Must-Have Qualifications
- 5+ years of Python experience in production ML systems (beyond notebooks/research).
- Deep experience with statistical modeling , including ensemble methods, kNN, calibration, cross-validation, and feature engineering.
- Expertise in time-series modeling & forecasting , including seasonality, trend decomposition, safety stock, and demand planning.
- Proven track record of shipping ML models that drive real business decisions (forecasting, pricing, demand planning).
- Strong intuition for messy, real-world data , including bias correction, stale signal handling, error cancellation, and distribution shifts.
- Experience with API integration and data pipeline architecture at scale.
- Hands-on experience with LLM/AI-agent workflows , including prompt engineering and evaluation fra

📌 Senior AI/ML Engineer (Argentina)
🏢 Lago
📍 Argentina