At a Glance
- Tasks: Join Mistral AI as an Applied AI Engineer, tackling complex challenges and deploying cutting-edge AI solutions.
- Company: Mistral AI, a leader in AI technology with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a dynamic environment with opportunities to contribute to open-source projects.
- Why this job: Make a real impact by helping organisations leverage AI in transformative ways.
- Qualifications: 2+ years in DevOps/SRE, fluent in Python, and experienced with cloud platforms.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You are fluent in English.
- You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- You have 2+ years of experience in a DevOps or Site Reliability Engineering role.
- You're experienced with deploying and managing AI-based products in production environments.
- You are fluent in Python.
- You have experience with containerization technologies such as Docker and Kubernetes.
- You have experience with CI/CD pipelines and automated deployment tools.
- You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure.
- You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible.
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences.
- (Desirable) Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.
- (Desirable) Familiarity with AI frameworks such as PyTorch or TensorFlow.
- (Desirable) Contributions to open-source projects, particularly in the space of DevOps or AI.
What the job involves
Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!
Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.
You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
Applied AI Engineer, Senior/Staff Devops/SRE - EMEA in London employer: Deepstreamtech
Mistral AI is an exceptional employer that fosters a dynamic and innovative work culture, where Applied AI Engineers can thrive in a collaborative environment. With a strong emphasis on employee growth, you will have the opportunity to work on cutting-edge AI projects that drive real-world impact while receiving support for continuous learning and development. Located in the EMEA region, Mistral AI offers unique advantages such as exposure to diverse industries and the chance to contribute to transformative technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer, Senior/Staff Devops/SRE - EMEA in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at 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
Prepare for those interviews by practising common questions and scenarios related to DevOps and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's open-source contributions or personal projects, having a portfolio can really set you apart. We suggest creating a GitHub profile to display your work and demonstrate your coding prowess.
✨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 Applied AI Engineer, Senior/Staff Devops/SRE - EMEA in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI-based products and DevOps practices. We want to see how your skills in Python, containerization, and cloud platforms can shine through in your application!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Applied AI Engineer role. We love seeing how you connect your past experiences to what we’re looking for.
Keep It Clear and Concise:When explaining your technical expertise, remember to keep it simple. We appreciate strong communication skills, so make sure you can explain complex concepts in a way that’s easy to understand for everyone.
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 from our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Docker, Kubernetes, and cloud platforms like AWS or Azure. Brush up on your knowledge of CI/CD pipelines and infrastructure as code tools like Terraform or Ansible, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical challenges, particularly in deploying AI-based products. Think about how you can explain your thought process clearly, as this role involves communicating with both technical and non-technical audiences.
✨Engage with Real-World Scenarios
Be ready to talk about real-world applications of AI and how you've contributed to projects that had a significant impact. Mistral AI is looking for someone who can drive technological transformation, so share your experiences that highlight your ability to implement solutions effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s products, their approach to AI, and how they collaborate with customers. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.
