At a Glance
- Tasks: Design and deploy cutting-edge AI models for medical devices in a collaborative team.
- Company: Join Stryker's innovative AI unit, shaping the future of healthcare technology.
- Benefits: Hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Work on diverse projects across various therapeutic areas with industry leaders.
- Why this job: Make a real impact in healthcare with advanced AI and GenAI technologies.
- Qualifications: Experience in Python, C++, and deploying AI/ML models required.
The predicted salary is between 48000 - 72000 £ per year.
Work Flexibility: Hybrid or Onsite
As a Senior AI deployment engineer, you will work along with a team of AI scientists, AI and xR application engineers, software engineers and clinical experts to design, develop, and deploy computer vision, augmented reality, mixed reality, multi-modal AI models and GenAI features into existing and new medical device products. This is a unique, high visibility opportunity for talented individuals who want to dive deep into cutting‑edge AI and GenAI optimization for cloud and edge deployments.
Responsibilities:
- Develop and deploy Artificial Intelligence (AI) software on cloud and edge devices (iPhone, iPad, Vision Pro, Android devices, NVIDIA devices).
- Optimize AI/ML models and pipelines for real‑time inference on edge devices.
- Build containerized AI services (e.g. Docker) and orchestrate deployments.
- Deploy and maintain real‑time microservices for AI applications including GenAI apps.
- Work with MLOps and AI security platform team to support continuous integration, testing, and monitoring of AI models.
- Design deployment evaluation frameworks, develop unit tests for software components in compliance with regulatory requirements.
- Generate and review the necessary documents with project teams.
- Perform Software verification and/or validation testing.
- Perform code reviews as an independent reviewer following best coding standards and practices.
Qualifications:
- Bachelor's degree in software engineering/Computer Science or related discipline with 2+ years of relevant work experience OR Master’s in relevant disciplines OR PhD degree in relevant disciplines.
- At least 4+ years of Python and C++ development experience.
- 3+ years of experience developing and deploying AI/ML models into production environments.
- Proficiency in containerization tools (Docker, Docker Compose).
- Experience with CI/CD Git automation pipelines.
- Strong Cloud deployment experience (Azure, GCP or AWS).
- Proven ability to optimize AI models for real‑time inference on edge devices to meet latency and performance requirements.
- Knowledge of model optimization techniques (ONNX Runtime, quantization, pruning, TensorRT, OpenVINO, CoreML, etc.).
- Experience with voice, LLMs and Generative AI (LLMs, vision, multimodal, multi‑agent) microservices experience.
- Experience with multi‑agentic AI frameworks for orchestrating complex workflows.
- Experience with Kubernetes for orchestrating AI microservices.
- Familiarity with monitoring and logging (Prometheus, Grafana, Azure Monitor, etc.).
- Experience with medical devices and product development standards in a regulated environment (ISO 13485, IEC 62304, ISO 14971).
As a valued member of Stryker’s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, machine learning and generative AI and digital innovation to the operating room and other healthcare settings. You’ll contribute to fast‑paced cycles of innovation and develop core technologies that power a wide array of Stryker’s solutions, including: surgical robotics and navigation, image‑guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency – plus many more.
Travel Percentage: 10%
Senior AI Deployment Engineer employer: Stryker European Operations Limited - Dutch Branch Office
At Stryker, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals in the field of AI and healthcare technology. Our hybrid work flexibility allows for a balanced lifestyle while providing ample opportunities for professional growth and development within a cutting-edge environment focused on improving patient outcomes. Join us to be part of a team that is not only at the forefront of technological advancements but also dedicated to making a meaningful impact in the medical device industry.
Contact Details:
Stryker European Operations Limited - Dutch Branch Office Recruitment Team
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We think you need these skills to ace Senior AI Deployment Engineer
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How to prepare for a job interview at Stryker European Operations Limited - Dutch Branch Office
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Stryker European Operations Limited - Dutch Branch Office uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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