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- Tasks: Design and maintain scalable Kubernetes clusters for AI workloads.
- Company: Leading financial technology firm in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities to work with cutting-edge AI tech.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: Expertise in Kubernetes, Slurm, Python, and C++ required.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial technology firm in London is seeking an AI Infrastructure Engineer to join their team. The role involves designing and maintaining scalable Kubernetes clusters, optimizing Slurm-based HPC environments, and developing APIs for AI workloads.
Candidates should have expertise in:
- Kubernetes
- Experience with Slurm
- Skills in Python and C++
The position offers a hybrid work model with a focus on cutting-edge AI technologies.
AI Infrastructure Engineer — Scalable ML Clusters employer: Pantera Capital
Contact Detail:
Pantera Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Engineer — Scalable ML Clusters
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Kubernetes and Slurm. We love seeing real-world applications of your expertise, so don’t hold back on sharing your projects.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and C++ skills, and be ready to tackle some coding challenges. We recommend practicing common algorithms and data structures to impress your interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into cutting-edge AI technologies.
We think you need these skills to ace AI Infrastructure Engineer — Scalable ML Clusters
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 hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with cutting-edge AI technologies and how you can contribute to our team. Keep it concise but impactful.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in previous roles, especially related to scalable ML clusters or HPC environments. We love seeing how you think on your feet!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our innovative team!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Inside Out
Make sure you brush up on your Kubernetes and Slurm knowledge. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you optimised environments or solved complex problems.
✨Showcase Your Coding Skills
Since Python and C++ are key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand to show off your skills.
✨Understand the Company’s Focus
Research the financial technology firm and their approach to AI. Familiarise yourself with their products and how they leverage AI technologies. This will help you tailor your answers and show that you're genuinely interested in their work.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare insightful questions about their AI infrastructure and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.