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- Tasks: Provide technical support for an innovative AI platform and troubleshoot customer issues.
- Company: Leading AI technology company in the UK with a vibrant work culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real difference in AI technology.
- Qualifications: Experience in technical support and knowledge of AI/ML concepts required.
- Other info: Dynamic environment focused on customer satisfaction and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology company in the United Kingdom is looking for a Support Engineer / Cluster Administrator to provide essential technical support for their cutting-edge AI platform. This role involves:
- Diagnosing and troubleshooting customer-reported issues
- Collaborating with vendor teams
- Automating maintenance tasks
Ideal candidates will have:
- Solid technical support experience
- Familiarity with cloud-based systems
- A strong understanding of AI/ML concepts
A vibrant work environment with a focus on customer satisfaction is fostered.
AI Platform Engineer – HPC & GPU Cluster Support employer: Carbon3ai Limited.
Contact Detail:
Carbon3ai Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer – HPC & GPU Cluster Support
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to HPC and GPU clusters. Practise explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance at landing that dream role.
We think you need these skills to ace AI Platform Engineer – HPC & GPU Cluster Support
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical support experience and any relevant skills related to AI/ML concepts. We want to see how your background aligns with the role, so don’t be shy about showcasing your cloud-based systems knowledge!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Platform Engineer role and how you can contribute to our vibrant work environment. Let us know what makes you tick and how you can enhance customer satisfaction.
Showcase Problem-Solving Skills: In your application, give examples of how you've diagnosed and troubleshot issues in the past. We love candidates who can think on their feet and come up with creative solutions, so share those experiences with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Carbon3ai Limited.
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills related to AI, HPC, and GPU clusters. Be ready to discuss specific tools and technologies you've used in the past, as well as any troubleshooting experiences. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've diagnosed and resolved technical issues in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to handle customer-reported issues.
✨Familiarise Yourself with Cloud Systems
Since the role involves cloud-based systems, make sure you understand the basics of cloud architecture and services. Be prepared to discuss any relevant experience you have with cloud platforms, as this will be crucial for the position.
✨Emphasise Collaboration and Customer Focus
This company values a vibrant work environment and customer satisfaction. Be ready to talk about how you've worked with teams or vendors in the past and how you prioritise customer needs. Highlighting your teamwork and communication skills will set you apart.
