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Fetcherr builds responsible AI that transforms market complexity into measurable profit growth through its proprietary Market Model—an AI-powered system delivering 96% forecast accuracy and real-time decision intelligence. The company's glass-box architecture uses market data with full transparency, deployed first in global aviation with corporate partners including Delta, Virgin Atlantic, WestJet, and Azul, delivering an average 7% profit uplift.
The Large Market Modeling (LMM) team is the engine behind Fetcherr's pricing intelligence, building and training models that transform market signals, customer behavior, and competitive dynamics into reliable, production-ready demand models. This Senior ML Engineer role supports and maintains the company's machine learning capabilities, working closely with production systems to ensure reliability, scalability, and explainability.
Key responsibilities include collaborating with cross-functional teams to keep ML systems robust and aligned with business needs; monitoring and reporting on model performance, reliability, and explainability metrics; participating in model retraining and automating MLOps pipelines; extending and scaling monitoring pipelines for new features; investigating and resolving production ML workflow issues through tiered support; developing and maintaining repositories for feature engineering, inference monitoring, and artifact tools; performing exploratory data analysis to identify data quality issues; implementing production-based adjusters across customer deployments; evaluating critical ML artifacts like explainability files and coverage metrics; supporting internal tools including interfaces, registries, and feature monitoring frameworks; and building static and temporal features including seasonality, event-based, and price-related features.
This role is ideal for someone who enjoys working with production systems and enabling research teams to deliver impact faster through reliable, maintainable ML infrastructure.
