Senior AI/ML Engineer – Inventory Forecasting, Decision Systems

Job not on LinkedIn

🕒 March 11

🌐 Brazil, Mexico, +4 more countries – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote 🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇭🇳 Honduras – Remote 🇨🇷 Costa Rica – Remote

💵 $20 - $40 / hour

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lago

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lago is a recruitment service that connects digital marketing agencies and businesses with top-tier global talent from emerging markets. Since 2015, Lago has specialized in providing remote staffing solutions, offering roles such as virtual assistants, social media managers, and customer support representatives. The company aims to empower both agencies and talented professionals by facilitating rewarding job opportunities while enabling businesses to grow efficiently and cost-effectively.

📋 Description

• 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

• 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.

🏖️ 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.