Assaia

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.

Coordinate all activities, timelines, and communication between internal teams and customers to ensure successful AI solution implementation. Track project requirements, manage scope creep, and proactively mitigate risks while collaborating with development and customer success teams.

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.