At a Glance
- Tasks: Build and optimise large-scale AI training clusters using Kubernetes and Slurm.
- Company: Fast-growing AI company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement.
- 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 in London 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 thrive and make a significant impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infra Engineer: Kubernetes & Slurm on AWS in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Kubernetes communities on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨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 glimpse of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges related to AI infrastructure and container orchestration. We recommend using platforms like LeetCode or HackerRank to get in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Infra Engineer: Kubernetes & Slurm on AWS in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes, Slurm, and any relevant programming skills like Python and C++. We want to see how your background aligns with the role, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Infrastructure Engineer role and how your skills can help us at Aimling. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any projects involving AI training or inference clusters, make sure to mention them! We love seeing real-world applications of your skills, so share what you've done and the impact it had.
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’re considered for the role. Plus, it’s super easy!
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 tech, but that you can handle 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, so practice coding challenges beforehand. This will help you feel more confident and showcase your technical abilities effectively.
✨Understand AI Workloads
Familiarise yourself with the types of AI workloads that are common in the industry. Being able to discuss how to optimise these workloads using Kubernetes and Slurm will set you apart. It shows that you understand the bigger picture and can contribute to the team’s goals.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, current projects, or future plans for AI infrastructure at Aimling. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.
