Senior ML Platform Engineer: Build Scalable AI Infra

Senior ML Platform Engineer: Build Scalable AI Infra

Full-Time 60000 - 80000 € / year (est.) No home office possible
Deepstreamtech

At a Glance

  • Tasks: Design and build scalable AI infrastructure for Machine Learning models.
  • Company: Join Deepstreamtech, a leader in innovative tech solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Dynamic and supportive environment focused on automation and problem-solving.
  • Why this job: Make a real impact in the AI space while collaborating with talented teams.
  • Qualifications: Experience with AWS/GCP, Kubernetes, and a passion for backend development.

The predicted salary is between 60000 - 80000 € per year.

Deepstreamtech seeks a skilled engineer to join the Machine Learning Platform team. You will play a key role in designing, building, and maintaining the infrastructure that empowers teams to train and serve Machine Learning models. Ideal candidates will have experience working with AWS and/or GCP, Kubernetes, and a strong interest in backend development. With a focus on problem-solving through automation, you will help set Monzo's technology teams up for success in a collaborative environment.

Senior ML Platform Engineer: Build Scalable AI Infra employer: Deepstreamtech

Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing AI infrastructure. Employees benefit from a supportive environment that encourages professional growth through continuous learning opportunities and hands-on experience with cutting-edge technologies like AWS, GCP, and Kubernetes. Located in a vibrant tech hub, the company offers unique advantages such as networking opportunities and access to industry-leading resources, making it an ideal place for talented engineers to thrive.

Deepstreamtech

Contact Detail:

Deepstreamtech Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Platform Engineer: Build Scalable AI Infra

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, GCP, or Kubernetes. We want to see how you tackle real-world problems and automate solutions.

Tip Number 3

Prepare for technical interviews by brushing up on your backend development knowledge. We recommend practicing coding challenges and system design questions to impress your interviewers.

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 genuinely interested in joining our team.

We think you need these skills to ace Senior ML Platform Engineer: Build Scalable AI Infra

Machine Learning Infrastructure
AWS
GCP
Kubernetes
Backend Development
Automation
Problem-Solving Skills

Some tips for your application 🫡

Show Your Passion for ML:When writing your application, let us see your enthusiasm for machine learning! Share any personal projects or experiences that highlight your skills and interest in the field. We love seeing candidates who are genuinely excited about what they do.

Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with AWS, GCP, and Kubernetes, as well as any backend development work you've done. We want to see how your background aligns with what we're looking for!

Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. We appreciate a well-structured application that gets straight to the good stuff!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at Deepstreamtech

Know Your Tech Stack

Make sure you’re well-versed in AWS, GCP, and Kubernetes. Brush up on your knowledge of these platforms and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.

Showcase Problem-Solving Skills

Prepare examples of how you've tackled challenges through automation. Think about specific instances where your solutions improved efficiency or resolved issues. This will demonstrate your ability to think critically and contribute to a collaborative environment.

Understand the Company Culture

Research Deepstreamtech’s values and work culture. Be ready to explain why you want to join their team and how your personal values align with theirs. This shows that you’re genuinely interested in being part of their mission.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.