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- Tasks: Design and operate multi-GPU infrastructure for AI model training.
- Company: Humanoid, a supportive startup in Greater London.
- Benefits: Competitive salary, stock options, and a vibrant work culture.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 5+ years in DevOps/MLOps with strong Kubernetes and Infrastructure-as-Code skills.
The predicted salary is between 60000 - 80000 £ per year.
Humanoid in Greater London is seeking a Senior DevOps Engineer to design and operate multi-GPU infrastructure for AI model training. The role requires over 5 years of experience in DevOps or MLOps, with strong skills in Kubernetes and Infrastructure-as-Code. The ideal candidate will ensure reliability, scalability, and performance of platforms while collaborating with ML engineers.
The company offers competitive salary, stock options, and a supportive startup culture.
Senior DevOps Engineer - AI/ML Training Infra employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer - AI/ML Training Infra
✨Tip Number 1
Network like a pro! Reach out to current employees at Humanoid on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your previous DevOps projects, especially those involving Kubernetes and Infrastructure-as-Code. This will help us see your hands-on experience.
✨Tip Number 3
Ace the interview! Brush up on common DevOps and MLOps questions, and be ready to discuss how you've tackled challenges in past roles. We love candidates who can share real-world examples.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in joining our team at Humanoid.
We think you need these skills to ace Senior DevOps Engineer - AI/ML Training Infra
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in DevOps and MLOps, especially with Kubernetes and Infrastructure-as-Code. 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/ML infrastructure and how your background makes you the perfect fit for our team. Let us know what excites you about working with multi-GPU setups.
Showcase Collaboration Skills: Since this role involves working closely with ML engineers, highlight any past experiences where you’ve collaborated on projects. We love seeing teamwork in action, so share examples that demonstrate your ability to work well with others.
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. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Humanoid
✨Know Your Tech Inside Out
Make sure you brush up on your Kubernetes and Infrastructure-as-Code skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working closely with ML engineers, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects and how your contributions led to improved outcomes.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios related to reliability, scalability, and performance. Think through your approach to troubleshooting and optimising multi-GPU infrastructure, and be ready to share your thought process.
✨Understand the Company Culture
Research Humanoid's startup culture and values. Be ready to discuss why you’re excited about joining a startup environment and how you can contribute to their mission. This shows that you’re not just looking for any job, but that you’re genuinely interested in being part of their team.