refresh

지금 많이 보는 기업

지금 많이 보는 기업

Mistral AI
Mistral AI

Leading company in the artificial intelligence industry

Applied AI Engineer, Senior/Staff Devops/SRE - EMEA

직무DevOps
경력Staff+
위치Paris, France
근무오피스 출근
고용정규직
게시2개월 전
지원하기

복지 및 혜택

스톡옵션

의료보험

헬스장 지원

통근비 지원

육아휴직

필수 스킬

Python

Docker

Kubernetes

CI/CD

Terraform

Ansible

AWS

Azure

GCP

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 Dev

Ops 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 Py Torch or Tensor Flow
  • Contributions to open-source projects, particularly in the space of Dev

Ops or AI:

Benefits:

We have local offices in Paris, London, Marseille and Singapore.

France

💰 Competitive cash salary and equity
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gympass subscription
🚴 Transportation : Monthly contribution to a mobility pass
🧑‍⚕️ Health : Full health insurance for you and your family
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship

UK

💰 Competitive cash salary and equity
🚑 Insurance
🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport
🥎 Sport: 90GBP/month reimbursement for gym membership
🥕 Meal voucher: £200 monthly allowance for its meals
💰 Pension plan: Smart Pension (percentages are 5% Employee & 3% Employer)

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Mistral AI 소개

Mistral AI

Mistral AI

Series B

Mistral AI SAS is a French artificial intelligence (AI) company, headquartered in Paris. Founded in 2023, it has open-weight large language models (LLMs), with both open-source and proprietary AI models. As of 2025 the company has a valuation of more than US$14 billion.

51-200

직원 수

Paris

본사 위치

$6.0B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.8

보상

4.0

문화

4.2

커리어

3.5

경영진

2.5

72%

지인 추천률

장점

Supportive team and collaborative environment

Good learning opportunities and mentorship programs

Excellent benefits and competitive compensation

단점

Poor management and lack of leadership direction

Work-life balance issues and heavy workload

High stress environment and burnout

연봉 정보

36개 데이터

Senior/L5

Senior/L5 · Solution Architect

1개 리포트

$273,000

총 연봉

기본급

$210,000

주식

-

보너스

-

$273,000

$273,000

면접 후기

후기 1개

난이도

3.0

/ 5

소요 기간

21-35주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Research Discussion

5

Team Matching

6

Offer

자주 나오는 질문

Machine Learning/AI Concepts

Research Experience

Technical Knowledge

Coding/Algorithm

Behavioral/STAR