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For Companies At a Glance
- Tasks: Join us as an Applied AI Engineer to solve complex technical challenges with cutting-edge AI solutions.
- Company: Mistral AI is a pioneering company focused on democratizing AI for everyday use and enterprise needs.
- Benefits: Enjoy competitive salaries, equity, health insurance, gym memberships, and generous parental leave.
- Why this job: Be part of a dynamic team transforming industries with AI while making a meaningful impact.
- Qualifications: Bachelor's or Master's in Computer Science, 2+ years in DevOps, fluent in Python, and experienced with cloud platforms.
- Other info: Visa sponsorship available; work with a diverse, collaborative team across multiple countries.
The predicted salary is between 36000 - 60000 £ per year.
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact.
The Job
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 will apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You will have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!
Responsibilities
- Onboard 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.
- Deploy state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- Collaborate with our researchers, other AI engineers, and product engineers on complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
- Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders.
About You
- Fluent in English.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 2+ years of experience in a DevOps or Site Reliability Engineering role.
- Experienced with deploying and managing AI-based products in production environments.
- Fluent in Python.
- Experience with containerization technologies such as Docker and Kubernetes.
- Experience with CI/CD pipelines and automated deployment tools.
- Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure.
- Experienced with infrastructure as code (IaC) tools such as Terraform or Ansible.
- Strong communication skills with the ability to explain complex technical concepts in simple terms to technical and non-technical audiences.
Ideally You Have
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.
- Familiarity with AI frameworks such as PyTorch or TensorFlow.
- Contributions to open-source projects, particularly in the space of DevOps or AI.
Benefits
- France: Competitive cash salary and equity, daily lunch vouchers, monthly contribution to a Gympass subscription, full health insurance for you and your family, generous parental leave policy, visa sponsorship.
- USA: Competitive salary and bonus structure, generous equity, competitive healthcare program, 401K (6% matching), 18 days PTO, transportation reimbursement, Betterup coaching, gym membership reimbursement, meal stipend, visa sponsorship.
- UK: Competitive cash salary and equity, insurance, transportation reimbursement, gym membership reimbursement, meal voucher, pension plan.
- Singapore: Early days in Singapore, in the process of building.
Applied AI Engineer, ML Infra - EMEA employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer, ML Infra - EMEA
✨Tip Number 1
Familiarise yourself with Mistral AI's products and solutions. Understanding their technology and how it integrates into daily working life will help you articulate how you can contribute to their mission during interviews.
✨Tip Number 2
Showcase your experience with containerization technologies like Docker and Kubernetes. Be prepared to discuss specific projects where you've successfully deployed AI-based products, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Highlight your problem-solving skills by preparing examples of complex technical challenges you've faced in previous roles. Mistral AI values creativity and innovation, so be ready to share how you approached these situations.
✨Tip Number 4
Engage with the AI community and contribute to open-source projects, especially those related to DevOps or AI. This not only enhances your skills but also shows your commitment to the field, which can set you apart from other candidates.
We think you need these skills to ace Applied AI Engineer, ML Infra - EMEA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in DevOps, AI deployment, and any specific technologies mentioned in the job description, such as Python, Docker, and Kubernetes. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your problem-solving skills. Mention specific projects or experiences that demonstrate your ability to onboard customers and deploy AI solutions effectively.
Showcase Technical Skills: In your application, clearly outline your technical skills related to cloud platforms, CI/CD pipelines, and infrastructure as code tools. Provide examples of how you've used these skills in previous roles to solve complex challenges.
Prepare for Technical Questions: Anticipate technical questions related to AI deployment and DevOps practices during the interview process. Be ready to explain your thought process and approach to solving problems in simple terms, as you may need to communicate with both technical and non-technical stakeholders.
How to prepare for a job interview at Mistral AI
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, containerization technologies like Docker and Kubernetes, and your understanding of cloud platforms. Be prepared to discuss specific projects where you've successfully deployed AI-based products.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex technical challenges in previous roles. Mistral AI values creativity and problem-solving, so share instances where you designed innovative solutions for clients.
✨Communicate Clearly
Since the role involves explaining technical concepts to both technical and non-technical audiences, practice simplifying complex ideas. This will show your strong communication skills, which are crucial for collaborating with customers and team members.
✨Research Mistral AI's Culture
Familiarise yourself with Mistral AI's mission and values. Understanding their commitment to innovation and collaboration will help you align your answers with their culture during the interview, making you a more appealing candidate.
