Senior AI/ML Engineer: Inventory Forecasting & Decisions

Lago; United States; Remote; USD 28,000 - 55,000; Full time

Benefits offered by this job

Remote Work

Growth Opportunities

Innovative Culture

Job summary

Lago seeks a Senior AI/ML Engineer to lead inventory forecasting and decision systems. This is a senior, individual-contributor role with direct business impact, requiring self-direction and comfort navigating ambiguity.

Hours are 9am-6pm Eastern Time (Remote). You will build end-to-end ML solutions, develop data pipelines, and implement LLM/AI-agent workflows to automate domain logic and improve decision-making across inventory planning and pricing.

Qualifications

• 5+ years of Python production ML experience.
• Strong time-series forecasting and statistical modeling skills.
• Experience shipping ML models that impact business decisions.
• Proficiency with data pipelines and API integrations at scale.
• Experience with LLM/AI-agent workflows and prompt engineering.
• Ability to work solo in a small, fast-moving team.

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.

Skills

Python

Time-series forecasting

Statistical modeling

ML model shipping

Data pipelines

LLM/AI-agent workflows

API integration

Model validation

Self-directed

Job description

Lago seeks a Senior AI/ML Engineer to lead inventory forecasting and decision systems. This is a senior, individual-contributor role with direct business impact, requiring self-direction and comfort navigating ambiguity.

Hours are 9am-6pm Eastern Time (Remote). You will build end-to-end ML solutions, develop data pipelines, and implement LLM/AI-agent workflows to automate domain logic and improve decision-making across inventory planning and pricing.