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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 predictions. The company serves global aviation leaders including Delta, Virgin Atlantic, WestJet, and others, with a proven 7% average profit uplift for corporate partners.
The Large Market Modeling (LMM) team is the technical engine behind Fetcherr's pricing intelligence, responsible for building and training production-ready demand models that power the company's AI recommendations.
As MLOps Team Lead, you will lead a small team of MLOps engineers building the internal machine learning platform that supports the LMM group's research and production workflows. This is a hands-on leadership role requiring both people management and technical contribution.
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, from design through production
- Staying hands-on by contributing to design and code, reviewing work, 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
- Partnering with R&D and stakeholders to translate research needs into robust, scalable systems
- Leading the platform evolution, including migration from Dask to Ray
You will work with a distributed platform handling large-scale data from multiple sources, balancing research velocity with production reliability.
