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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 accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture using market data with full transparency, it is industry-agnostic and scales across volatile markets. Fetcherr delivers an average profit uplift of 7% and counts Delta, Virgin Atlantic, WestJet, Viva, and Azul among its corporate partners.
The Large Market Modeling (LMM) team is the engine powering 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. Other teams work with the models; the LMM team brings them to life, teaching Fetcherr's AI how people buy so it can recommend the right price at the right moment.
As an MLOps Engineer, you will build and maintain the models and data pipelines that power data science workflows. You'll ensure the accuracy, consistency, and efficiency of data used for model training and inference. Working with both structured and unstructured data from various sources, you'll leverage expertise in data engineering and machine learning to create a robust, scalable system. Your responsibilities include pipeline development, model deployment, monitoring, and optimization to support the team's technical capabilities and growth.
