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Open nowPosted 207 days ago

Senior AI/ML Engineer - Inventory Forecasting & Decision Systems

Workable (global search)108,016 open roles

Where
Argentina
Work mode
Remote
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Your applicationOpen nowSenior AI/ML Engineer - Inventory Forecasting & Decision SystemsWorkable (global search) · Argentina

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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 207 days ago

Workable (global search) median: 7 days open

The posting

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.

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.

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