Senior AI/ML Engineer – Inventory Forecasting, Decision Systems

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Lago

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2024

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Lago é um serviço de recrutamento que conecta agências de marketing digital e empresas a talentos globais de alto nível provenientes de mercados emergentes. Desde 2015, a Lago é especializada em fornecer soluções de contratação remota, oferecendo vagas como assistentes virtuais, gerentes de social media e representantes de suporte ao cliente. A empresa busca potencializar tanto as agências quanto os profissionais talentosos, facilitando oportunidades de trabalho recompensadoras e permitindo que os negócios cresçam de forma eficiente e com ótimo custo-benefício.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.