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- 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.
- 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.
- Other info: Work on diverse projects across various therapeutic areas with industry leaders.
The predicted salary is between 48000 - 72000 ÂŁ 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
Contact Detail:
Stryker European Operations Limited - Dutch Branch Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Deployment Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving cloud and edge deployments. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI deployment and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior AI Deployment Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Deployment Engineer role. Highlight your experience with AI/ML models, cloud deployments, and any relevant projects that showcase your skills in Python and C++. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific technologies or projects that excite you.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to include them! Whether it's deploying models or working with containerization tools like Docker, we love seeing real-world applications of your skills. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process and ensures your application goes directly to our hiring team. Plus, it shows you're keen on joining us at StudySmarter!
How to prepare for a job interview at Stryker European Operations Limited - Dutch Branch Office
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, C++, and containerization tools like Docker. Brush up on your knowledge of AI/ML model optimisation techniques and cloud deployment platforms such as Azure or AWS. Being able to discuss these topics confidently will show that you're ready for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around deploying AI models or working with microservices. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what the outcomes were. This will demonstrate your critical thinking and technical prowess.
✨Familiarise Yourself with Regulatory Standards
Since the role involves working with medical devices, it’s crucial to understand relevant regulatory standards like ISO 13485 and IEC 62304. Be prepared to discuss how you’ve navigated compliance in past projects, as this will show your awareness of the importance of regulations in product development.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the team dynamics, project timelines, and the company’s vision for AI in healthcare. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
