Engineering Manager, Computer Vision

Employer · Protex AI

IT managerSoftware developerR&D managerFlexibleFull-time

Budapest

At Protex AI, we're building Site Intelligence, an AI platform that connects cameras, enterprise systems and operational knowledge to give businesses a real-time understanding of what's happening across their operations. We're looking for an Engineering Manager for our Computer Vision Features team in a hands-on role where you will lead the team and still ship with it.

Tasks

  • Lead, hire, coach and grow a multidisciplinary team of computer vision, video and edge engineers.
  • Set the technical direction for computer vision at Protex.
  • Ship with the team: design, write code and review code.
  • Shape the work before it's built: scope it with product managers, then own delivery from idea to deployment.
  • Lead with urgency when detection quality drops at a client site, from triage to root cause to fix.
  • Make the team faster: improve development workflows, measure delivery, and make releases to edge devices safe and fast.
  • Model our core values: urgency, excellence, agency and care.

Requirements

  • 3+ years of people management within engineering
  • 5+ years of software or ML engineering experience, including hands-on work on computer vision systems in production, and 2+ years leading or managing engineering teams.
  • Hands-on experience with deep learning for computer vision: you've trained and deployed optimised CNN models (e.g. PyTorch, TensorRT, ONNX) and experimented with vision-language models.
  • Strong Python skills, and experience building data, training or deployment pipelines on cloud infrastructure (AWS preferred), with containers and infrastructure as code.
  • Strong opinions on the direction of computer vision, and a track record of setting technical direction, leading architecture discussions and delivering complex technical projects across teams on time, from design to production.
  • You're a good communicator with product sense: you connect model quality to client outcomes, write clear design docs, and turn strategic goals into concrete engineering plans.
  • BSc in Computer Science, Engineering, or a related technical discipline.

Posted Oct 16, 2026 · Updated 18 days ago · 2 views