You’ll cover the end-to-end cycle: from initial strategy and planning to execution and results assessment, creating content for both business leaders and technical experts.

Build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for growing business.

As a Data Engineer you will design, build and operate the data platform that powers the company: pipelines that ingest and transform very large datasets from external data partners, data models that the whole company queries, and services that make that data available to internal products.

This role is ideal for a technically fluent delivery leader who can coordinate hardware, embedded, software, and AI/DSP teams, manage delivery risk, and keep both the client and internal stakeholders aligned throughout the product lifecycle.

Доєднуйся до динамічної команди в Києві!

Ми шукаємо Керівника відділу сервісу та техпідтримки, який доєднається до команди в офісі у Києві.