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

Senior Applied AI / ML Application Engineer (f/m/x)
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Senior Software Engineer - Applied AI & Data Products
SQUER —München
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Senior Applied AI Architect - Automated Driving (f/m/x)
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Team Lead Machine Learning (m/f/x) - Remote Sensing
osapiens —München
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Software Engineer - Special Projects (d/f/m)
Entrix —München
- 75.000 € – 115.000 € pro Jahr
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- AWS
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Product Engineer - Special Projects (d/f/m)
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- 90.000 € – 120.000 € pro Jahr
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Senior Research Engineer - Video Foundation Models (Pre - Training)
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Solution Architect, Computer Vision – Media and Entertainment
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Senior Agentic AI Process Designer (f/m/x)
BMW —München
- Vollzeit
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Senior Software Engineer, Accessibility
Synthesia —München
- Ab 120.000 € pro Jahr
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Cloud AI Architect (m/w/d)
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Staff Data Scientist - Trading (m/f/d)
Entrix —München
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Software Engineer – Workflow Innovation & Process Automation (Java, Camunda) (m/f/x)
Ludwig-Maximilians-Universität München —München
- Teilzeit
- Informatik
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- Softwareentwicklung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
AI Strategy / Analytics Manager (all genders)
Accenture —München
- Vollzeit
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- Englisch
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The Exploration Company —München
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Bragi —München
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Senior Product Impact Engineer (f/m/d)
Manex AI GmbH —München
- Vollzeit
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Senior Consultant (m/f/d) Data & AI Strategy
Artefact —München
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- Microsoft Powerpoint
- Master
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13 Tage

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applied ai, forward deployed machine learning engineer jobs near münchen, by

Senior Applied AI / ML Application Engineer (f/m/x)

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 3 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Kotlin
Informatik
Java
Künstliche Intelligenz
Führungserfahrung
Python

Vollständige Stellenbeschreibung

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

In this role, you will build, prototype, and deliver use cases that leverage edge device models. By understanding real user problems, model capabilities are translated into meaningful product experiences that make the voice assistant and in‑car intelligence truly useful. Together with the model engineering product team, you will be a key contributor to our product: the BMW Intelligent Personal Assistant.

What awaits you?

You will integrate models that run on edge devices within the infotainment domain.
Furthermore, you will prototype & build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.
You will collaborate with the model engineering team to respect latency, memory, and performance budgets in edge devices and in the cloud.
You will work closely with staff engineers to shape our model landscape and tooling infrastructure to deliver customer value.
Additionally, you will build evaluation tools for real-world interaction quality, robustness, and failure modes.
You will partner with our UX teams to refine design, fallback flows, and safe error handling.

What should you bring along?

University degree in Computer Science, Engineering, or a related field.
At least five years of proven experience in application engineering with a track record of delivering for a large customer base.
Strong engineering experience integrating GenAI & ML models to serve delightful use cases.
Solid Python and Java/Kotlin experience.
You know how to debug ambiguous GenAI failures and improve behavior through iteration.
You are hands-on with a bias for action.
You enjoy working on complex problems in an international in-house team of experts.
You are comfortable working with constrained, offline, edge-device models and designing around their limitations.

Are you ready to shape the future of in-car intelligence with us? Apply now!
Find out more about Artificial Intelligence at the BMW Group here.

Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.

What do we offer?

Challenging projects with which we are shaping the mobility of tomorrow together.
Wide range of personal and professional development opportunities.
Attractive, fair and performance-related remuneration.
High level of job security.
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
Flexible working hours including 6 weeks annual leave and overtime compensation.
Discounted BMW & MINI conditions.
Many other benefits at bmw.jobs/benefits

Start date: from now on

Type of employment: unlimited
Working hours: Full-time

If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).

You can find helpful tips on your application and the application process.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

Legal Entity:

BMW AG

Location:

Munich

Job Field:

Software Development

Job Id:

181974

Publication Date:

27.03.2026

Jetzt bewerben

Erweiterte Suche

applied ai, forward deployed machine learning engineer Jobs in münchen, by

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Senior Applied AI / ML Engineer (f/m/x)

Senior Software Engineer - Applied AI & Data Products

Senior Applied AI Architect - Automated Driving (f/m/x)

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Product Engineer - Special Projects (d/f/m)

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Senior Agentic AI Process Designer (f/m/x)

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Software Engineer – Workflow Innovation & Process Automation (Java, Camunda) (m/f/x)

AI Strategy / Analytics Manager (all genders)

Backend Engineer

Senior Mobile Test Automation Engineer

Senior Product Impact Engineer (f/m/d)

Senior Consultant (m/f/d) Data & AI Strategy

Ich möchte aktuelle Job-E-Mails für Stellen als applied ai, forward deployed machine learning engineer in münchen, by erhalten

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