Applied AI, Forward Deployed Machine Learning Engineer - Munich
머신러닝 엔지니어정규직— · 경력 무관
Mistral AI는 뮌헨에서 Forward Deployed ML Engineer를 채용합니다. 고객의 비즈니스 문제를 해결하기 위해 LLM 및 생성형 AI 모델을 현장에 배포하고 최적화하는 핵심 역할을 수행합니다. Python 및 PyTorch/TensorFlow 숙련도와 프로덕션 환경에서의 ML 모델 배포 경험이 필수입니다. 세계 최고 수준의 연구진과 협업하며 최첨단 AI 기술을 실무에 적용할 기회입니다.
Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.
Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.
You’ll individually help deploy into production use cases with a considerable business impact across various industries.
You’ll work on state-of-the-art GenAI 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, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases 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.
Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
We care about people and outputs.
What matters is what you ship, not the time you spend on it
Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
Always ask why. The best solutions come from deep understanding, not from copying what worked before
We say what we mean. Feedback is direct, timely, and given because we care.
No politics. Low ego, high standards.
We embrace an unstructured environment and find joy in it.
You are fluent in English
You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
You have deep understanding of concepts and algorithms underlying machine learning and LLMs
You have strong technical coding skills in Python
You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Contributed to open-source projects in particular in the space of LLMs
Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
You have experience with deep learning with Pytorch