SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 has been deployed in global aviation and scales across volatile markets, delivering an average profit uplift of 7% for corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.
The Large Market Modeling (LMM) team is the engine powering Fetcherr's pricing intelligence. This team builds and trains the models that transform chaotic market signals, customer behavior, and competitive dynamics into reliable, production-ready demand models. While 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 help grow the technical team's capabilities by building and maintaining the models and data pipelines that power data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of data used for model training and inference. This involves working 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 will work closely with data scientists and engineers to operationalize machine learning systems, manage data quality, and optimize pipeline performance.
