At a Glance
- Tasks: Build and optimise large-scale AI training clusters using Kubernetes and Slurm.
- Company: Fast-growing AI company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Exciting career growth in a cutting-edge technology environment.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: Expertise in Kubernetes, Slurm, Python, and C++ required.
The predicted salary is between 60000 - 80000 £ per year.
Aimling, located in Greater London, is seeking an AI Infrastructure Engineer to join their fast-growing team. The ideal candidate will work closely with inference and research teams to build, deploy, and optimize large-scale AI training and inference clusters using Kubernetes and Slurm.
The role requires strong expertise in managing Kubernetes deployments, experience with Slurm, and proficiency in Python and C++. Successful candidates will play a critical role in ensuring efficient and reliable AI workloads.
AI Infra Engineer: Kubernetes & Slurm on AWS employer: Aimling
Aimling is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. Employees benefit from continuous professional development opportunities, competitive compensation, and the chance to work on cutting-edge AI technologies alongside talented teams. With a focus on meaningful projects and a supportive environment, Aimling is dedicated to empowering its workforce to achieve their full potential.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infra Engineer: Kubernetes & Slurm on AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Kubernetes communities. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects with Kubernetes, Slurm, Python, and C++. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions related to AI infrastructure. We recommend using platforms that focus on real-world scenarios to get you ready for those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace AI Infra Engineer: Kubernetes & Slurm on AWS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes, Slurm, and programming in Python and C++. 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 excited about the AI Infrastructure Engineer role and how your background makes you a perfect fit. Keep it engaging and personal – we love to see your passion!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled challenges in managing Kubernetes deployments or optimising AI workloads. We’re looking for candidates who can think critically and adapt to new situations.
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 Aimling
✨Know Your Tech Inside Out
Make sure you brush up on your Kubernetes and Slurm knowledge. Be ready to discuss how you've managed deployments in the past and any challenges you've faced. Having specific examples will show that you’re not just familiar with the tools, but that you can effectively use them in real-world scenarios.
✨Showcase Your Coding Skills
Since proficiency in Python and C++ is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Practising coding challenges related to AI infrastructure can give you a solid edge.
✨Understand the AI Workload
Familiarise yourself with the types of AI workloads that are common in the industry. Knowing how to optimise these workloads using Kubernetes and Slurm will impress your interviewers. They’ll want to see that you understand the bigger picture and can contribute to efficient AI training and inference.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, current projects, and future goals at Aimling. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!
