Develop and maintain backends and tooling for internal ML customers, including core pipelines for offline and real-time production systems. Collaborate with ML researchers to optimize experimental pipelines and maintain inference software infrastructure.
Develop and maintain end-to-end ML models for flight departure delay prediction and operational forecasting. Build internal tooling for dataset generation and training pipelines while collaborating with backend teams for live system integration.
This is a spontaneous application for a talent pool. Candidates are invited to submit their CVs and describe their background and the type of role they are interested in for future opportunities.
Develop and maintain backends and tooling for internal ML customers, including core pipelines for offline and real-time production systems. Collaborate with ML researchers to optimize experimental pipelines and maintain inference software infrastructure.
