You'll work closely with the AI Architect, who owns the overall architecture and the client relationship. Within that architecture, you'll have real ownership over how components are designed, sequenced, and built - and if something won't hold up in production, we want to hear about it, backed by evidence.

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.

Доєднуйся до динамічної та сильної команди на роль Sales Manager в Україні!

You will help establish a practical QA process, validate releases and technical flows, evaluate complete user journeys, and turn incomplete product input into questions, draft flows and testable acceptance criteria.

Build the performance-critical core of our real-time computer vision pipeline. Own the runtime beneath the CV engines - shared-memory frame pools, zero-copy IPC, and process orchestration.

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.