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 frameworks.
Proven ability to validate models rigorously : LOO, backtesting, production vs offline metric gaps.
Self-directed, comfortable in a fast-evolving, small team environment .

Nice-to-Have Qualifications
Experience in Amazon marketplace, e-commerce, or retail analytics .
Familiarity with similarity-based methods (kNN, embeddings, vector search).
Experience maintaining long-lived model systems (v1 → v30+ iteration cycles).
Prior startup or founder-adjacent experience .

Benefits
Remote Work: Work from anywhere—our team is global, and we value work-life balance.
Growth Opportunities: As a key player i you’ll have the chance to shape your role and grow with us.
Innovative Culture: Join a team that is passionate about leveraging data to solve challenges and drive success in a rapidly evolving market.

As part of our recruitment process, all candidates are kindly asked to read, understand, and agree to Lago’s Confidentiality and Non-Circumvention Agreement . This ensures a respectful and professional experience for everyone involved.

📌 Senior AI/ML Engineer - Inventory Forecasting & Decision Systems (Ciudad de México)
🏢 Lago
📍 Ciudad de México