Senior AI/ML Engineer - Inventory Forecasting & Decision Systems

# Senior AI/ML Engineer - Inventory Forecasting & Decision Systems

> Lago · Brazil (Remote) · Full-time · Posted 2026-03-11

**Workplace:** remote

**Department:** Dev

## Description

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, ideal 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_](https://docs.google.com/document/d/e/2PACX-1vT9d3IW-QW-lGpt7ZIU22uqvADQUVESDzQPAopkpb1Tzf6OVERy198VBtGBpnpKXw/pub)_. This ensures a respectful and professional experience for everyone involved._

## Apply

[Apply at Lago](https://apply.workable.com/lago-1/j/F0926C26D8/apply)

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