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Senior AI/ML Engineer - Inventory Forecasting & Decision Systems

1 hour, 24 minutes ago
Mexico, Argentina, Brazil, Colombia, Costa Rica, Honduras
Full-time
Senior
AI (Artificial Intelligence)
Software Development
Feature Engineering LLM Machine Learning Python
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lago

lago

lago connects talented individuals from emerging markets with high-quality remote job opportunities, facilitating professional growth and increased earnings for both workers and agencies.

Professional Services
View All Jobs 48

Description

  • Build and improve inventory demand forecasting models using machine learning and statistical methods.
  • Own ML models end to end, from data collection and feature engineering through training, deployment, monitoring, and iteration.
  • Develop decision systems that support inventory planning, pricing, and demand decisions.
  • Build and maintain data pipelines and API integrations for internal and external data sources.
  • Work with messy real-world data to improve model reliability through validation and testing.
  • Implement LLM and AI-agent workflows that translate domain logic into automated processes.
  • Operate independently in a small team by setting priorities, unblocking challenges, and communicating tradeoffs clearly.

Requirements

  • 5+ years of Python experience in production ML systems beyond notebooks or research.
  • Deep experience with statistical modeling, including ensemble methods, kNN, calibration, cross-validation, and feature engineering.
  • Expertise in time-series modeling and forecasting, including seasonality, trend decomposition, safety stock, and demand planning.
  • Proven track record of shipping ML models that drive real business decisions such as forecasting, pricing, or 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 and AI-agent workflows, including prompt engineering and evaluation frameworks.
  • Proven ability to validate models rigorously using methods such as LOO, backtesting, and production-versus-offline metric comparisons.
  • Self-directed and comfortable working in a fast-evolving, small team environment.
  • Experience in Amazon marketplace, e-commerce, or retail analytics is preferred.
  • Familiarity with similarity-based methods such as kNN, embeddings, and vector search is preferred.
  • Experience maintaining long-lived model systems through repeated iteration cycles is preferred.
  • Prior startup or founder-adjacent experience is preferred.

Benefits

  • Remote work from anywhere with a global team.
  • Work-life balance supported by a flexible remote arrangement.
  • Growth opportunities with the chance to shape your role.
  • Opportunity to join an innovative, data-driven team.
  • USD salary of $20-$40 per hour.
  • Candidates must agree to Lago’s Confidentiality and Non-Circumvention Agreement as part of the recruitment process.

Interested in this position?

Apply directly on the company website

Apply Now

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