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Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. The company's core product 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, the technology is deployed across volatile markets including global aviation, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul, delivering consistent average profit uplift of 7%.
The Large Market Modeling (LMM) team is the technical 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.
You will join as an MLOps Engineer responsible for building and maintaining the models and data pipelines that power data science workflows. Your core responsibilities include ensuring the accuracy, consistency, and efficiency of data used for model training and inference. You'll work with both structured and unstructured data from various sources, leveraging expertise in data engineering and machine learning to create a robust, scalable system.
The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience is a plus but not required. You'll collaborate closely with data scientists and other engineers to operationalize machine learning systems, manage data quality, optimize pipeline performance, and support model deployment and monitoring in production environments.
