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. Puna remote: Po Burimi: https://mk.linkedin.com/jobs/view/senior-ai-ml-engineer-inventory-forecasting-decision-systems-at-lago-4399693822

Niveli: senior