As an Applied AI Engineer at Mistral, you will onboard customers, implement AI solutions, and collaborate on complex projects, utilizing DevOps expertise.
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. See more about our culture on https://mistral.ai/careers.
About 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’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.
What you will do
• 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.
About you
• 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 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
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
💰 Competitive cash salary and equity
🚑 Health Insurance
🥎 Sport : $90 for gym membership allowance
🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)
🚴 Transportation : $120/month for public transport or Parking charges reimbursed
Top Skills
Ansible
AWS
Azure
Docker
GCP
Kubernetes
Python
PyTorch
TensorFlow
Terraform
Similar Jobs
Cloud • Information Technology • Security • Software
As a Solutions Engineering Lead, you will support customers in product evaluation, conduct technical presentations, and ensure successful adoption of Sonar solutions.
Top Skills:
AWSAzureDockerKubernetesLinuxWindows
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
Lead the Core Banking Platform team to develop scalable solutions, mentor engineers, and enhance financial accuracy for global transactions while collaborating across teams.
Top Skills:
AWSBackend DevelopmentDatabase TechnologiesDistributed SystemsDockerEvent-Driven ArchitecturesGCPGrafanaKubernetesNewrelicPrometheusSplunk
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
Lead and mentor a team of engineers in developing scalable data infrastructure and software applications. Design tools for enhanced self-service capability while ensuring quality and functionality. Collaborate with cross-functional teams and stay updated on emerging technologies.
Top Skills:
FlinkGitopsKafkaKubernetesSparkTerraform
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
