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- Tasks: Develop and deploy innovative AI software for cloud and edge applications.
- Company: Leading medical device company focused on cutting-edge healthcare solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by optimising AI/ML models.
- Qualifications: Strong Python and C++ skills, with experience in cloud deployment and AI optimisation.
- Other info: Join a dynamic team dedicated to advancing medical technology.
The predicted salary is between 48000 - 72000 £ per year.
A leading medical device company in the UK is seeking a Senior AI deployment engineer to develop and deploy cutting-edge AI software for cloud and edge applications. This role involves optimizing AI/ML models, maintaining microservices, and ensuring compliance with medical standards.
The ideal candidate has a strong background in Python and C++ development, along with experience in cloud deployment, containerization, and AI model optimization. This position offers a hybrid work model and opportunities to contribute to innovative healthcare solutions.
Senior AI Deployment Engineer — GenAI, Edge & Cloud 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 — GenAI, Edge & Cloud
✨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/ML projects, especially those involving Python and C++. 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 common technical questions related to AI deployment and cloud technologies. Practice explaining your past projects and how they relate to the role you're applying for—confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it shows you're proactive and keen on being part of our innovative healthcare solutions.
We think you need these skills to ace Senior AI Deployment Engineer — GenAI, Edge & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, C++, and cloud deployment. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI in healthcare and how your background makes you the perfect fit for this role. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any AI/ML models or cloud applications, make sure to mention them! We love seeing real-world examples of your work, especially if they relate to medical standards or innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Stryker European Operations Limited - Dutch Branch Office
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects where you've optimised AI/ML models or worked with cloud deployment. Having concrete examples will show your expertise and make you stand out.
✨Understand the Medical Standards
Since this role involves compliance with medical standards, do some research on relevant regulations and guidelines. Being able to discuss how you've ensured compliance in past projects will demonstrate your readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in deploying AI solutions, especially in edge and cloud environments. Highlight your problem-solving approach and any innovative solutions you've implemented to overcome these challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects in AI deployment or how they envision the future of healthcare technology. This shows you're not just interested in the job, but also in contributing to their mission.
