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

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our team remotely. In this role, you will drive the development of advanced inventory forecasting and decision systems, making a direct impact on our business. If you are a self-directed engineer comfortable navigating ambiguity and building end-to-end ML solutions, this position is perfect for you.

What You'll Do

• Build and enhance inventory demand forecasting models using machine learning and statistical methods.
• Own ML models end-to-end: from data collection to feature engineering, training, deployment, monitoring, and iteration.
• Develop decision systems that support inventory planning, pricing, and demand decisions.
• Construct and maintain data pipelines and API integrations for both 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 automate processes based on domain logic.
• Operate independently within a small team, setting priorities, unblocking challenges, and communicating tradeoffs effectively.

Requirements

• 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 and comfortable in a fast-evolving, small team environment.

Nice to Have

• 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.

What We Offer

• Remote Work: Work from anywhere - our team is global, and we value work-life balance.
• Growth Opportunities: As a key player, 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.