At a Glance
- Tasks: Scale and manage infrastructure while developing tools for Machine Learning software.
- Company: Join Deepstreamtech, a dynamic tech company in Bristol.
- Benefits: Gain experience with cutting-edge AI platforms and enjoy a collaborative work environment.
- Other info: Exciting opportunities for growth and innovation await you!
- Why this job: Make a real impact in the world of Machine Learning and High-Performance Computing.
- Qualifications: Proficiency in Python, Kubernetes, Docker, and cloud services required.
The predicted salary is between 45000 - 55000 € per year.
Deepstreamtech in Bristol is seeking a Software Infrastructure Engineer to join their dynamic team. This pivotal role involves scaling and managing infrastructure, developing essential tools for the software team, and enhancing processes for Machine Learning Software components. You will gain experience with High-Performance Computing (HPC) AI platforms and will focus on long-term engineering solutions.
Key skills include:
- Python
- Kubernetes
- Docker
- Cloud services
- Terraform to manage Cloud Infrastructure
ML Infra & MLOps Engineer | Kubernetes, Cloud, CI/CD employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant city of Bristol, offering a collaborative and innovative work culture that fosters creativity and growth. Employees benefit from hands-on experience with cutting-edge technologies in Machine Learning and High-Performance Computing, alongside ample opportunities for professional development and career advancement. The company values work-life balance and provides a supportive environment where team members can thrive and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land ML Infra & MLOps Engineer | Kubernetes, Cloud, CI/CD
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Kubernetes, Docker, and cloud services. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and MLOps knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 about their job search!
We think you need these skills to ace ML Infra & MLOps Engineer | Kubernetes, Cloud, CI/CD
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Kubernetes, and cloud services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Let us know what drives you in the world of MLOps and infrastructure.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled challenges in previous roles, especially related to scaling infrastructure or developing tools. We love seeing how you approach problems and come up with innovative solutions!
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 Deepstreamtech
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Kubernetes, Docker, and cloud services. Brush up on your knowledge of Terraform too, as it’s crucial for managing Cloud Infrastructure. Being able to discuss your experience with these tools confidently will show that you’re a great fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to scaling infrastructure or enhancing ML processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to see your thought process and problem-solving abilities.
✨Understand High-Performance Computing
Since this role involves HPC AI platforms, do some research on what makes them tick. Be ready to talk about any relevant experience you have and how you can contribute to optimising performance in a cloud environment. This will demonstrate your commitment to long-term engineering solutions.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, ongoing projects, or the company’s approach to MLOps. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation!
