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

> Lago · Serbia (Remote) · Full-time · Posted 2026-03-24

**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/9CE6D541CC/apply)

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