Senior AI/ML Engineer - Inventory Forecasting & Decision Systems

Lago; Philippines; Remote; PHP 1,633,194 - 3,266,389; Full time

Benefits offered by this job

Work from anywhere

Growth opportunities

Innovative culture

Job summary

A global tech company is seeking a Senior AI/ML Engineer to develop advanced inventory forecasting and decision systems. The role requires expertise in machine learning, particularly in time-series modeling and statistical methods. Candidates should have a strong background in Python and experience with end-to-end model management. This remote position provides growth opportunities and a chance to shape the role within a passionate team focused on leveraging data to drive success.

Qualifications

• 5+ years of Python experience in production ML systems.
• Deep experience with statistical modeling and ensemble methods.
• Expertise in time-series modeling and forecasting.

Responsibilities

• Build and improve inventory demand forecasting models using ML.
• Own ML models end-to-end: from data collection to monitoring.
• Develop decision systems for inventory planning and pricing.

Skills

Python

Statistical modeling

Time-series modeling

API integration

LLM/AI-agent workflows

Model validation

Job description

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.

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.

• 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.

As part of our recruitment process, all candidates are kindly asked to read, understand, and agree to Lago’s Confidentiality and Non-Circumvention Agreement. This ensures a respectful and professional experience for everyone involved.