Senior AI/ML Engineer – Inventory Forecasting, Decision Systems

This is a fully remote position, open to applicants in Serbia.

📋 Description

• Develop and enhance inventory demand forecasting models utilizing machine learning and statistical techniques.

• Take ownership of machine learning models through the entire lifecycle: data collection, feature engineering, training, deployment, monitoring, and iteration.

• Create decision-making systems that assist in inventory planning, pricing strategies, and demand management.

• Construct and oversee data pipelines and API integrations for both external and internal data sources.

• Handle complex real-world data to ensure the reliability of models via thorough validation and testing.

• Implement LLM/AI-agent workflows to convert domain knowledge into automated processes.

• Work autonomously within a small team, prioritizing tasks, overcoming obstacles, and clearly communicating trade-offs.

⛳️ Requirements

• Over 5 years of experience in Python for production machine learning systems (beyond notebooks and research).

• Extensive knowledge of statistical modeling, including ensemble methods, kNN, calibration, cross-validation, and feature engineering.

• Proficiency in time-series modeling and forecasting, covering aspects like seasonality, trend decomposition, safety stock, and demand planning.

• Demonstrated success in deploying machine learning models that influence significant business decisions (forecasting, pricing, demand planning).

• Strong understanding of complex real-world data, including bias correction, handling stale signals, error cancellation, and managing distribution shifts.

• Experience in API integration and large-scale data pipeline architecture.

• Practical experience with LLM/AI-agent workflows, encompassing prompt engineering and evaluation frameworks.

• Ability to rigorously validate models: LOO, backtesting, and assessing production versus offline metric discrepancies.

• Self-motivated and adept at thriving in a fast-paced, small team environment.

• Experience in Amazon marketplace, e-commerce, or retail analytics is a plus.

• Familiarity with similarity-based methods (kNN, embeddings, vector search) is a plus.

🏝️ Benefits

• Remote Work: Enjoy the flexibility of working from anywhere—our team is global, and we prioritize work-life balance.

• Growth Opportunities: As a pivotal member, you’ll have the opportunity to shape your role and advance with us.

• Innovative Culture: Join a team dedicated to harnessing data to tackle challenges and achieve success in a rapidly changing market.