20 beste Stellen als forward deployed ai engineer, germany in münchen, by – aktuell auf Personalsuche

Applied AI, Forward Deployed Machine Learning Engineer
Mistral AI —München
- Vollzeit
- Master
- Kommunikationsfähigkeit
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- Vollzeit
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Devoteam G Cloud Germany —München
- Per E-Mail
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- Informatik
- Machine Learning
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Applied AI, Technical Lead, Forward Deployed AI Engineer
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- Vollzeit
- Doktorat
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Investa Real Estate —München
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- Englisch
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CROZ DACH GmbH —München
- 70.000 € – 90.000 € pro Jahr
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- Flexible Arbeitszeiten
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(Senior) Forward Deployed AI Scientist, Operations & Optimization, Germany & Austria - BCG X
Boston Consulting Group —München
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Bliro GmbH —München
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supermodular.ai —München
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resaro.ai —München
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Zeit AI (YC S24) —München
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Video Research Engineer (Multiple Levels)
Qualcomm —München
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Forward Deployed Engineer - EMEA
Tulip Interfaces —München
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Forward Deployed Engineer (FDE)
lytra GmbH —München
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Growth Protocol —München
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forward deployed ai engineer, germany jobs near münchen, by

Applied AI, Forward Deployed Machine Learning Engineer

Mistral AI
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master
Kommunikationsfähigkeit

Vollständige Stellenbeschreibung

Location

Munich

Employment Type

Full time

Department

Solutions

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

About The Job

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.

What you will do

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

How We Work in Applied AI

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.

About you

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

Ideally you have:

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

Why join us?

You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

By applying, you agree to our Applicant Privacy Policy.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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