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ScreenPoint Medical
ScreenPoint Medical
51 – 200 Angajați
Asistență medicalăIndustria prelucrătoareInteligență artificială
ScreenPoint Medical este o companie de tehnologie medicală axată pe imagistica sânului asistată de inteligență artificială. Suita software Transpara sprijină mamografia și evaluarea clinică prin detectarea automatizată a cancerului, evaluarea densității sânului și compararea imaginilor în timp. Transpara este furnizat ca software pe bază de abonament, integrat în fluxurile clinice existente, și este conceput pentru a ajuta radiologii să evalueze imaginile sânului, să identifice cazurile potențial cu risc ridicat și să lucreze mai eficient, inclusiv atunci când examinează țesut mamar dens. Abordarea companiei se bazează pe dovezi clinice, validare evaluată prin studii analizate de experți și autorizări de reglementare, inclusiv autorizarea FDA și marcajul CE.
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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.

NLȚările de JosHibridNormă întreagăSeniorLiderLimbă Obligatorie: englezăInteligență artificială
AWSCloudJenkinsKubernetesTerraform

Descriere

  • 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

Cerințe

  • 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

Beneficii

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

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