ScreenPoint Medical
ScreenPoint Medical
ScreenPoint Medical — жасанды интеллект көмегімен сүт бездерін бейнелеуге бағытталған денсаулық сақтау технологиялары компаниясы. Оның Transpara бағдарламалық жасақтама жиынтығы қатерлі ісікті автоматты түрде анықтау, сүт безі тінінің тығыздығын бағалау және кескіндерді уақыт өте салыстыру арқылы маммография мен клиникалық талдауды қолдайды. Қолданыстағы клиникалық жұмыс процестеріне жазылымдық бағдарламалық жасақтама ретінде енгізілетін Transpara радиологтарға сүт безі кескіндерін бағалауға, ықтимал қаупі жоғары жағдайларды анықтауға және, соның ішінде тығыз сүт безі тінін қарау кезінде, тиімдірек жұмыс істеуге көмектесуге арналған. Компанияның тәсілі клиникалық дәлелдерге, рецензияланған зерттеулер арқылы расталуға және FDA рұқсаты мен CE таңбасы сияқты реттеуші рұқсаттарға негізделген.

Senior AI Enablement Engineer – Nijmegen Hybrid

Lead the development and adoption of production-grade AI tools and automation for ScreenPoint Medical’s breast cancer imaging products. Own AWS, Kubernetes, GitOps-based CI/CD, and internal AI enablement.

Сипаттама

  • Lead ScreenPoint Medical’s AI enablement strategy
  • Assess internal workflows for automation and decide which initiatives to prioritize
  • Develop AI-powered tools that improve internal workflows in partnership with the teams responsible for them
  • Embed security considerations across solution design and implementation
  • Promote internal AI adoption and help colleagues and teams realize value from new tooling
  • Deliver production-ready internal tools rapidly, evolving proofs of concept into solutions used every day
  • Incorporate LLM and AI capabilities—including APIs, agents, retrieval-augmented generation, and automation frameworks—into tools and pipelines
  • Create and operate GitOps-driven CI/CD pipelines
  • Manage and enhance Kubernetes infrastructure, covering deployments, scaling, observability, and cost control
  • Own solutions throughout their lifecycle, from initial concept to production support

Талаптар

  • Proactive self-starter who can manage AI enablement from stakeholder discussions through delivery, operations, and adoption
  • Demonstrated ability to create new solutions and lead organizational change
  • Experience developing with AI and LLM tools such as APIs, agent or orchestration frameworks, and automation systems; alternatively, strong software engineering experience with clear progress toward AI tooling
  • At least seven years of DevOps experience supporting cloud-based development
  • One to two years of recent focus on AI enablement and tooling
  • Advanced practical DevOps experience with AWS, Argo, Jenkins, Git, Terraform, CI/CD architecture, and infrastructure as code
  • Practical Kubernetes expertise spanning deployment, scaling, troubleshooting, and cluster operations
  • Bitbucket experience is preferred
  • Experience in regulated or healthcare software environments is preferred
  • A Certificate of Conduct (VOG) or background check is required during the application process

Артықшылықтар

  • Opportunities to develop your career
  • The application process includes a Certificate of Conduct (VOG) or background check

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