ScreenPoint Medical
ScreenPoint Medical
ScreenPoint Medical एक स्वास्थ्य प्रौद्योगिकी कंपनी है, जो AI-सहायता प्राप्त स्तन इमेजिंग पर केंद्रित है। इसका Transpara सॉफ़्टवेयर सूट स्वचालित कैंसर पहचान, स्तन घनत्व आकलन और समय के साथ छवियों की तुलना के माध्यम से मैमोग्राफी और क्लिनिकल समीक्षा में सहायता करता है। मौजूदा क्लिनिकल कार्यप्रवाहों के भीतर सब्सक्रिप्शन सॉफ़्टवेयर के रूप में उपलब्ध Transpara को रेडियोलॉजिस्टों द्वारा स्तन छवियों का आकलन करने, संभावित रूप से उच्च-जोखिम वाले मामलों की पहचान करने और अधिक कुशलता से काम करने में मदद करने के लिए डिज़ाइन किया गया है, जिसमें घने स्तन ऊतक की समीक्षा भी शामिल है। कंपनी का दृष्टिकोण क्लिनिकल साक्ष्यों, सहकर्मी-समीक्षित सत्यापन और FDA क्लियरेंस तथा CE मार्किंग सहित नियामक स्वीकृतियों पर आधारित है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

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

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