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Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. The company's core technology is the Market Model—a proprietary AI-powered system delivering 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture using market data with full transparency, it has been deployed across global aviation with corporate partners including Delta, Virgin Atlantic, WestJet, and others, delivering an average 7% profit uplift.
The Large Market Modeling (LMM) team is the engine behind Fetcherr's pricing intelligence. This team builds and trains the models that transform market signals, customer behavior, and competitive dynamics into reliable, production-ready demand models.
We are seeking a Senior ML Engineer to support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.
Key Responsibilities:
- Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs
- Monitor and report on ML model performance, reliability, and explainability metrics
- Participate in model retraining procedures and implement automation and optimization of MLOps pipelines
- Extend and scale monitoring pipelines to support new features in development
- Investigate, troubleshoot, and resolve issues in production ML workflows, from initial triage to root-cause analysis with model owners
- Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools
- Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health
- Implement and oversee production-based adjusters across customer deployments
- Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and feature alignment
- Support development and maintenance of internal tools including interfaces, registries, and feature monitoring frameworks
- Build and maintain static and temporal features, including seasonality, event-based, and price-related features
