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Senior Computer Vision & MLOps Engineer

Protex AI

Skills

Required

  • computer vision / machine learning systems in production
  • debugging production issues
  • ML engineering
  • scaling software systems
  • video analytics / edge deployment

Preferred

  • MLOps
  • AI
  • dataset curation
  • annotation workflows
  • Python
  • PyTorch

Join Protex AI, a leading AI platform revolutionizing industrial operations. As a Senior Computer Vision & MLOps Engineer, you'll drive the machine learning lifecycle, optimize detection models, and shape the technical direction of our ML platform. Enjoy benefits like unlimited holidays, health insurance, and remote work opportunities.

Conduire des travaux à fort impact à travers les équipes, établir les normes techniques sur lesquelles les autres s'appuient, défendre les besoins des clients dans les discussions techniques.

Exposure to data governance practices

Responsibilities

  • Collaborer avec les chefs de produit pour définir la portée, la conception et mettre en œuvre les initiatives clés.
  • Diriger l'analyse des causes profondes et la triage lors de la rotation de support de l'équipe lorsque la qualité de détection diminue.
  • Interested in creating a new category with us? We're looking for high-agency people who thrive in ambiguity, move quickly and care deeply about solving real problems
  • Strong Python skills, and experience building data, training or deployment pipelines on cloud infrastructure (AWS preferred), with containers and infrastructure as code

A solid grasp of model evaluation and MLOps

  • A track record of owning architectural components, leading architecture discussions and driving complex technical projects across teams from design to production, without formal authority
  • Hands-on experience with deep learning for computer vision, from training to deploying optimised models (e.g. PyTorch, TensorRT, ONNX)
  • Experience driving best practices in testing, reproducibility and code review, and mentoring other engineers

Requirements

  • Bsc in Computer Science, Engineering or other relevant STEM
  • Product sense and clear communication: you connect model quality to client outcomes, write clear design docs, and translate strategic goals into actionable engineering plans

Experience debugging production issues end to end

  • 5+ years of software or ML engineering experience, including hands-on work on computer vision or machine learning systems in production
  • Experience scaling software systems in a startup or high-growth environment
  • Experience with video analytics or edge deployment
  • Experience with vision-language or foundation models

Preferred

  • Experience with dataset curation, annotation workflows or labelling partners
  • Experience using AI coding agents in day-to-day engineering work