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

Senior Applied AI / ML Data Engineer (f/m/x)
BMW —München
- Vollzeit
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- Künstliche Intelligenz
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5 Tage
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Direkt bewerben
Senior Solutions Architect, Generative and Physical AI - NVAITC
NVIDIA —München
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Contamination Control Engineer (m/w/d) for semiconductor industry
Applied Materials —Heimstetten
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The Exploration Company —München
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Senior AI Engineer for the Infotainment Platform (f/m/x)
BMW —München
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Manager, AI Deployment Engineering - Codex
OpenAI —München
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Skalar —München
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Boston Consulting Group —München
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AI Deployment Strategist - Munich, Germany
Mistral AI —München
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OKAPI:Orbits GmbH —München
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Data & AI Consultant (m/w/d)
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Solution Architect, Computer Vision – Media and Entertainment
NVIDIA —München
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Senior Data Engineer (F/M/D)
Animore —München
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Customer Engineer PDC Sem
Applied Materials —Feldkirchen
- 52.000 € – 71.500 € pro Jahr
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MASTERARBEIT – SPIKING NEURAL NETWORKS IN THE PHYSICAL LAYER OF WIRELESS COMMUNICATION SYSTEMS (M/F/D)
fortiss GmbH —München
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External Lecturer on a fee basis Applied Data Engineering f/m/d
SRH University —München
- Doktorat
- Master
- SQL

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

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

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 5 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

CI/CD
Informatik
Machine Learning
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.

We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW’s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.

What awaits you?

You design data pipelines for ingestion, curation, pseudonymization, and versioning.
Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
You set up experiment tracking and artifact registries for model variants.
Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
You build and operate the data pipelines and provide self-serve tools for the team.

What should you bring along?

University degree in Computer Science, Engineering, or a related field.
Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Motivation to embrace customer problems and find innovative solutions using available technologies.
You enjoy working on complex problems in an international in-house team of experts.
Professional English proficiency; German is a plus.

Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? 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 technical interviews 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:

182180

Publication Date:

27.03.2026

Jetzt bewerben

Erweiterte Suche

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MASTERARBEIT – SPIKING NEURAL NETWORKS IN THE PHYSICAL LAYER OF WIRELESS COMMUNICATION SYSTEMS (M/F/D)

External Lecturer on a fee basis Applied Data Engineering f/m/d

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

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