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- Tasks: Deploy cutting-edge AI solutions for cloud and edge devices in the medical tech field.
- Company: Leading medical technology company in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a pioneering team and make a difference in healthcare through AI technology.
- Qualifications: Expertise in Python, C++, and experience with AI/ML model deployment.
- Other info: 10% travel requirement and a dynamic work environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading medical technology company in the UK is seeking a Senior AI Deployment Engineer to work on cutting-edge AI and GenAI optimization for cloud and edge device deployments. The role requires expertise in Python and C++, along with experience in deploying AI/ML models in production environments. Candidates should have strong cloud deployment experience and be familiar with monitoring tools for AI applications. The position offers a hybrid work model with a 10% travel requirement.
Senior AI Deployment Engineer (Cloud & Edge) in Newbury 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 (Cloud & Edge) in Newbury
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 cloud deployments and monitoring tools. Practising with a friend or using mock interview platforms can help you feel more confident when the time comes.
✨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 over other candidates.
We think you need these skills to ace Senior AI Deployment Engineer (Cloud & Edge) in Newbury
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and C++. We want to see how your skills align with our needs, especially in deploying AI/ML models in production environments.
Cloud Experience is Key: Don’t forget to mention your cloud deployment experience! We’re looking for someone who knows their way around cloud technologies and can bring that knowledge to our cutting-edge projects.
Be Specific About Your Experience: When detailing your past roles, be specific about the tools and monitoring systems you’ve used for AI applications. This helps us understand how you can contribute to our team right from the start.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 deployed AI/ML models, especially in production environments. This will show that you not only understand the theory but have practical experience too.
✨Familiarise Yourself with Cloud Tools
Since the role requires strong cloud deployment experience, take some time to get acquainted with the latest cloud technologies and monitoring tools for AI applications. Being able to talk about your hands-on experience with these tools will definitely give you an edge.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges in deploying AI solutions. Think of examples from your past work where you successfully navigated obstacles, particularly in cloud and edge device contexts. This will demonstrate your problem-solving skills and adaptability.
✨Show Enthusiasm for Hybrid Work
With a hybrid work model and some travel involved, express your excitement about this flexibility. Share any previous experiences you have with remote work or managing projects across different locations, as it shows you're adaptable and ready for the role's requirements.
