Senior AI/ML Engineer - Inventory Forecasting & Decision Systems

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.