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- Tasks: Design cutting-edge AI infrastructure for innovative composite AI workloads.
- Company: Dynamic tech company based in Edinburgh with a focus on AI.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and shape the future of AI technology.
- Qualifications: Experience with Serverless architectures and strong system architecture skills required.
- Other info: Exciting projects and a collaborative environment await you!
The predicted salary is between 36000 - 60000 £ per year.
A technology company in Edinburgh is seeking an AI Infrastructure Architect to design a unified AI infrastructure and serving architecture for composite AI workloads. The role requires hands-on experience with Serverless architectures and cloud-native technologies. Ideal candidates should be proficient in system-level languages, have a strong foundation in system architecture, and be able to analyze and optimize system-level bottlenecks. Interested applicants can contact via email.
AI Infrastructure Architect — Serverless, Multi-Model AI employer: microTECH Global Limited
Contact Detail:
microTECH Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Architect — Serverless, Multi-Model AI
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to serverless architectures and AI workloads. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on system architecture concepts and be ready to discuss how you've tackled system-level bottlenecks in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team. Let's get you that dream job!
We think you need these skills to ace AI Infrastructure Architect — Serverless, Multi-Model AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with serverless architectures and cloud-native technologies. 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! Use it to explain why you’re passionate about AI infrastructure and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a personal touch.
Showcase Your Technical Skills: Since this role requires proficiency in system-level languages and architecture, make sure to include specific examples of your technical expertise. We’re keen to see how you’ve tackled system-level bottlenecks in the past!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at microTECH Global Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in serverless architectures and cloud-native technologies. Brush up on your knowledge of system-level languages and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've identified and optimised system-level bottlenecks. Use real examples to demonstrate your analytical skills and how you approach complex problems.
✨Understand the Company’s Vision
Research the technology company and its current AI initiatives. Being able to align your experience with their goals will show that you’re genuinely interested and can contribute to their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about their existing infrastructure and future plans for AI workloads. This not only shows your interest but also gives you a chance to assess if the role is the right fit for you.
