Senior AI/ML Engineer (Inventory Forecasting)

TL;DR

Senior AI/ML Engineer (Inventory Forecasting): Building and optimizing advanced inventory forecasting and decision systems with an accent on time-series modeling, statistical methods, and LLM-based agent workflows. Focus on creating end-to-end ML pipelines to drive business decisions in pricing and demand planning.

Location: Remote (Global). Hours: Must be available 9am - 6pm Eastern Time

Salary: $20–$40 / hour

Company

hirify.global is a data-driven company focused on leveraging advanced AI to solve complex challenges in a rapidly evolving market.

What you will do

• Develop and optimize inventory demand forecasting models using ML and statistical methods.
• Own the entire ML lifecycle from data collection and feature engineering to deployment and monitoring.
• Create decision systems to support inventory planning, pricing, and demand management.
• Build scalable data pipelines and API integrations for internal and external data sources.
• Implement LLM/AI-agent workflows to translate domain logic into automated processes.

Requirements

• 5+ years of Python experience in production ML systems.
• Expertise in time-series modeling, seasonality, and demand planning.
• Strong background in statistical modeling (ensemble methods, cross-validation, feature engineering).
• Proven experience shipping ML models that drive real-world business decisions.
• Ability to handle messy real-world data, including bias correction and distribution shifts.
• Work Hours: Must be aligned with 9am - 6pm Eastern Time

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 through multiple iteration cycles.
• Prior startup or founder-adjacent experience.

Culture & Benefits

• Full remote work from anywhere with a global team.
• Strong emphasis on work-life balance.
• Opportunities to shape the role and grow with the company.
• Innovative culture passionate about data-driven success.