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Fetcherr builds responsible AI that transforms market complexity into measurable profit growth through its proprietary Market Model, delivering 96% forecast accuracy in demand prediction. The company serves global aviation and other volatile markets, with corporate partners including Delta, Virgin Atlantic, and WestJet, consistently delivering 7% average profit uplift.
The Large Market Modeling (LMM) team is the technical engine behind Fetcherr's pricing intelligence, building and training the models that power demand forecasting and real-time decision intelligence. As MLOps Team Lead, you will lead a small team of MLOps engineers responsible for developing an internal machine learning platform that supports research workflows and production pipelines.
Key responsibilities include:
- Leading, mentoring, and growing a team of MLOps engineers while owning delivery and technical quality
- Taking end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production deployment
- Staying hands-on by contributing to design and code, conducting technical reviews, and setting engineering standards
- Driving the team through critical milestones in ML model-lifecycle and infrastructure ownership
- Building and maintaining models and data pipelines for data science workflows, ensuring accuracy, consistency, and efficiency across structured and unstructured data at scale on distributed platforms
- Partnering with R&D and other stakeholders to translate research needs into robust, scalable systems
- Evolving the platform, including ongoing migration from Dask to Ray
This is a hands-on leadership role requiring someone who can guide technical direction while remaining close to the code. You will work across multiple data sources and large-scale distributed systems, balancing team leadership with individual technical contribution.
