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Experience Level
Senior
Qualifications
Essential QualificationsA minimum of 5 years of experience in Python, specifically within production ML systems (not limited to notebooks or research).Strong background in statistical modeling, including ensemble methods, kNN, calibration, cross-validation, and feature engineering.Expertise in time-series modeling and forecasting, encompassing seasonality, trend decomposition, safety stock, and demand planning.Demonstrated ability to deploy ML models that guide critical business decisions (forecasting, pricing, demand planning).Intuitive understanding of messy real-world data, addressing bias correction, stale signal management, error mitigation, and distribution shifts.Experience with API integration and scalable data pipeline architecture.Hands-on experience with LLM/AI-agent workflows, covering prompt engineering and evaluation methodologies.Proven capability to rigorously validate models: through leave-one-out, backtesting, and analyzing production vs offline metric discrepancies.Self-motivated and comfortable in a rapidly evolving, small team setting.Preferred QualificationsExperience within Amazon marketplace, e-commerce, or retail analytics.Familiarity with similarity-based methods (kNN, embeddings, vector search).Experience in maintaining long-lived models with a focus on performance.
About the job
As a Senior AI/ML Engineer specializing in Inventory Forecasting & Decision Systems, you will play a pivotal role in developing sophisticated models that enhance our inventory management processes. This fully remote position requires a proactive engineer who thrives in dynamic environments, adept at creating comprehensive machine learning solutions that influence business outcomes directly.
Key Responsibilities
Design and enhance inventory demand forecasting models utilizing machine learning and statistical techniques.
Oversee the entire lifecycle of ML models: from data collection and feature engineering to training, deployment, monitoring, and iteration.
Create decision systems that facilitate inventory planning, pricing strategies, and demand forecasting.
Establish and uphold data pipelines and API integrations for both external and internal data sources.
Work with real-world messy data to ensure the robustness of models through thorough validation and testing.
Implement LLM/AI-agent workflows to automate processes by translating domain logic into executable actions.
Function independently within a small team, prioritizing tasks, overcoming challenges, and articulating trade-offs effectively.
About lago-1
lago-1 is a forward-thinking organization dedicated to leveraging advanced AI and machine learning technologies to revolutionize inventory management. We emphasize innovation and data-driven decision-making to enhance operational efficiency and drive business success.
Senior AI/ML Engineer - Inventory Forecasting & Decision Systems
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Senior
Qualifications
Essential QualificationsA minimum of 5 years of experience in Python, specifically within production ML systems (not limited to notebooks or research).Strong background in statistical modeling, including ensemble methods, kNN, calibration, cross-validation, and feature engineering.Expertise in time-series modeling and forecasting, encompassing seasonality, trend decomposition, safety stock, and demand planning.Demonstrated ability to deploy ML models that guide critical business decisions (forecasting, pricing, demand planning).Intuitive understanding of messy real-world data, addressing bias correction, stale signal management, error mitigation, and distribution shifts.Experience with API integration and scalable data pipeline architecture.Hands-on experience with LLM/AI-agent workflows, covering prompt engineering and evaluation methodologies.Proven capability to rigorously validate models: through leave-one-out, backtesting, and analyzing production vs offline metric discrepancies.Self-motivated and comfortable in a rapidly evolving, small team setting.Preferred QualificationsExperience within Amazon marketplace, e-commerce, or retail analytics.Familiarity with similarity-based methods (kNN, embeddings, vector search).Experience in maintaining long-lived models with a focus on performance.
About the job
As a Senior AI/ML Engineer specializing in Inventory Forecasting & Decision Systems, you will play a pivotal role in developing sophisticated models that enhance our inventory management processes. This fully remote position requires a proactive engineer who thrives in dynamic environments, adept at creating comprehensive machine learning solutions that influence business outcomes directly.
Key Responsibilities
Design and enhance inventory demand forecasting models utilizing machine learning and statistical techniques.
Oversee the entire lifecycle of ML models: from data collection and feature engineering to training, deployment, monitoring, and iteration.
Create decision systems that facilitate inventory planning, pricing strategies, and demand forecasting.
Establish and uphold data pipelines and API integrations for both external and internal data sources.
Work with real-world messy data to ensure the robustness of models through thorough validation and testing.
Implement LLM/AI-agent workflows to automate processes by translating domain logic into executable actions.
Function independently within a small team, prioritizing tasks, overcoming challenges, and articulating trade-offs effectively.
About lago-1
lago-1 is a forward-thinking organization dedicated to leveraging advanced AI and machine learning technologies to revolutionize inventory management. We emphasize innovation and data-driven decision-making to enhance operational efficiency and drive business success.
